npj Digital Medicine @npjDigitalMed Twitter profile

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npj Digital Medicine

25 days

Missed our podcast episode with The Medical Futurist @Berci and @Yosra_Mekki ? Feel free to play back the recording below:

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npj Digital Medicine

@npjDigitalMed

11 months

This study develops a generative clinical LLM using 277 billion words of text and up to 20 billion parameters. The model improves biomedical natural language processing, generates synthetic clinical text, and passed Turing test in writing clinical notes.

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npj Digital Medicine

@npjDigitalMed

1 year

In this perspective, @Berci & @EricTopol discuss the regulation of GPT-4 & generative #ArtificialIntelligence in medicine... balancing the exciting + transformative potential, but ensuring safety, maintaining ethical standards, & protecting privacy.

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npj Digital Medicine

@npjDigitalMed

1 year

Foundation models (FMs) such as #ChatGPT have the potential to revolutionize healthcare. But what's hype and what's real? This review from a team in @StanfordMed includes 84 clinical FMs + proposes an evaluation framework better suited to assess value.

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npj Digital Medicine

@npjDigitalMed

2 years

It is important to ensure #digitalhealth does not accelerate #healthdisparities . @SafiyaMD et al. from @nyugrossman present this framework inc. key digital determinants of health, from individual to societal, to understand the impact on health #equity .

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npj Digital Medicine

@npjDigitalMed

2 years

We are delighted to welcome @girish_nadkarni to the #npjDigitalMed Editorial Team. Girish brings a wealth of #DigitalHealth and #Nephrology expertise to our Editorial Board Member team.

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npj Digital Medicine

@npjDigitalMed

9 days

This study developed an open-source tool using a LLM to extract important medical information from clinical text, focusing on decompensated #LiverCirrhosis . The tool identified liver cirrhosis from free text with 100% sensitivity and 96% specificity, and showed strong results

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npj Digital Medicine

@npjDigitalMed

7 months

Your weekend read editorial: Discussing the importance of shifting the focus towards clinically relevant outcomes, when adopting #ArtificialIntelligence tools, the ecosystem required for AI to succeed in health, & the human aspect of #healthcare .

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npj Digital Medicine

@npjDigitalMed

9 days

This article introduces ETHOS, an AI tool that uses advanced #MachineLearning to predict future health outcomes based on patient records, without needing labelled data or model tuning. This tool can simulate different treatment options, helping improve patient care & reduce

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npj Digital Medicine

@npjDigitalMed

1 year

Are large language models (LLMs) safe for use in medicine? In this study led by @OmiyeTofunmi & @RoxanaDaneshjou , the authors found that four different LLMs had outputs that perpetuated false race-based medicine.

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npj Digital Medicine

@npjDigitalMed

1 year

(1/4) Can AI help surgeons improve their skills? We are delighted to share a trio of articles published across @NaturePortfolio covering AI-based assessment of surgery skills, authored by @DaniKiyasseh and colleagues. All articles are fully open access 🔓

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npj Digital Medicine

@npjDigitalMed

3 months

A meta-meta-analysis shows e- & m-Health interventions improve #physicalactivity , sedentary behavior, #diet , bodyweight & #sleep . These scalable interventions offer significant benefits across diverse populations, enhancing public health.

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npj Digital Medicine

@npjDigitalMed

6 months

A curated database of @US_FDA -cleared #ArtificialIntelligence products for medical imaging indicates a high prevalence of triage systems, variability in basic output characteristics, and often limited #explainability of AI predictions.

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npj Digital Medicine

@npjDigitalMed

2 years

A comprehensive review of natural language processing over the past 15 years from a team in the UK. NLP budgets from research funding now are 80x that from 2007-10, yet there is still much to do in this field to realise its potential.

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npj Digital Medicine

@npjDigitalMed

1 year

Of 4 collaboration strategies to deploy #AI for the diagnosis of ARDS from chest XR, the most accurate is to allow AI review the XR first & defer to the physician if uncertain. 79% of cases were decided by AI - significantly reducing physician workload.

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npj Digital Medicine

@npjDigitalMed

6 months

"Data have become the most valuable commodity in health care, but questions remain about whether there will be an #AI 'revolution' or 'evolution' in health". This perspective article discusses action areas & recommendations to achieve AI's full potential.

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npj Digital Medicine

@npjDigitalMed

6 months

Generative #ArtificialIntelligence can create synthetic patient data that closely mimics disease biology, treatment response & long-term survival compared to real clinical trial cohorts. Synthetic patient data may augment control groups in trial designs.

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npj Digital Medicine

@npjDigitalMed

2 years

Gestational age estimation has an error of +/- 2 weeks in late #pregnancy . The application of this #machinelearning model using only ultrasound image analysis reduces this error to 3 + 4 days in the 2nd & 3rd trimesters representing a major step forward.

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npj Digital Medicine

@npjDigitalMed

6 months

With advancements in data science & #AI , the concept of #DigitalTwin for Health holds immense potential. This scoping review explores its promising applications, paving the way for a collaborative global effort in healthcare innovation.

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npj Digital Medicine

@npjDigitalMed

2 years

What can we learn from how you type on your phone? This study shows that it’s possible to track and predict fluctuations in people’s mental health status based on how they type on their phone with nearly 95% accuracy.

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npj Digital Medicine

@npjDigitalMed

2 years

New article! Read Making machine learning matter to clinicians: model actionability in medical decision-making in npj Digital Med

Making machine learning matter to clinicians: model actionability in medical decision-making

npj Digital Medicine - Making machine learning matter to clinicians: model actionability in medical decision-making

www.nature.com

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npj Digital Medicine

@npjDigitalMed

2 years

Introducing @drjessilyn , Jessilyn joined us as an Associate Editor in March 2021 and is one of our longest-serving Associate Editors. Jessilyn is highly experienced in assessing manuscripts focused on digital biomarkers and machine learning.

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npj Digital Medicine

@npjDigitalMed

6 months

New article! Read Self-supervised learning for human activity recognition using 700,000 person-days of wearable data in npj Digital Med

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npj Digital Medicine

@npjDigitalMed

2 years

This perspective from @JohnTorousMD , @arieldora + @ftbourgeois gives a useful outline of the structure + challenges in the SaMD regulatory landscape with @US_FDA incl. examples. Encouraging work is happening, but plenty more to be done... #DigitalHealth

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npj Digital Medicine

@npjDigitalMed

1 year

🏆Most cited paper of 2022 is this review on #MachineLearning for medical imaging, including its methodological failures and recommendations for the future. @GaelVaroquaux @DrVeronikaCH

Machine learning for medical imaging: methodological failures and recommendations for the future

npj Digital Medicine - Machine learning for medical imaging: methodological failures and recommendations for the future

www.nature.com

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npj Digital Medicine

@npjDigitalMed

1 year

This Perspective, written by one of our previous Editors-in-Chief, @EricTopol , and @Berci continues to attract readers and was our 🏆 top @altmetric article for July 2023.

Nature Portfolio

@NaturePortfolio

1 year

A Perspective in @npjDigitalMed argues that regulatory oversight should assure medical professionals and patients can use large language models and AI without causing harm or compromising their data or privacy and offers recommendations to regulators.

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npj Digital Medicine

@npjDigitalMed

1 year

New this week in @Nature : A new #AI tool designs #mRNAvaccines that have greater shelf stability and trigger a larger antibody response in mice than conventionally designed vaccines.

‘Remarkable’ AI tool designs mRNA vaccines that are more potent and stable

Nature - Software from Baidu Research yields jabs for COVID that have greater shelf stability and that trigger a larger antibody response in mice than conventionally designed shots.

www.nature.com

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npj Digital Medicine

@npjDigitalMed

7 months

Smartphones & #wearables transform health monitoring. However, bias in digital health studies and algorithms arises from underrepresented datasets. This @DukeU team explore device ownership, reasons for use, & willingness to share data for research.

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npj Digital Medicine

@npjDigitalMed

1 year

Using a phone app to monitor wounds for infection after surgery... In this multi-centre pilot, 200 patients felt the app improved almost every aspect of their wound care after surgery including usefulness, ease of use, reliability of tech, & satisfaction.

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npj Digital Medicine

@npjDigitalMed

9 months

Large language models show promise for identifying social determinants of health in clinic notes, with smaller, fine-tuned models showing more robust performance & less potential bias than ChatGPT-family models.

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npj Digital Medicine

@npjDigitalMed

2 years

A single approach that can recognise walking with a variety of body-worn devices regardless of walking style, sensor location and configuration is presented in this paper to estimate walking time, cadence and step count.

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npj Digital Medicine

@npjDigitalMed

10 months

Large language models can rapidly phenotype patients with no manual annotation. This study reports on the evaluation of a publicly available LLM for zero-shot phenotyping using clinical notes with a proof-of-concept in postpartum hemorrhage.

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npj Digital Medicine

@npjDigitalMed

1 year

We would like to welcome Prof. @girish_nadkarni from @IcahnMountSinai to our Associate Editor team. Girish is specialized in AI and emerging technologies in medicine.

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npj Digital Medicine

@npjDigitalMed

1 year

Our June Reviewer of the Month is @kdpsinghlab ! On peer review, Karandeep comments: "With all the rapid innovations happening right now in the space of AI & large language models, it's more important than ever to separate hype from reality."

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npj Digital Medicine

@npjDigitalMed

1 year

Can synthetic data improve AI models? In this paper, a generative model for synthesizing mixed-type timeseries health records, including physiological signals, lab results, & medication uses, improved the downstream applications of AI in critical care.

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npj Digital Medicine

@npjDigitalMed

10 months

This team from @cerebral built a #MachineLearning system to identify chat messages from patients experiencing #mentalhealth crises. When deployed in a national telehealth network it reduced response times to patients in crisis from 10 hours to <10 mins.

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npj Digital Medicine

@npjDigitalMed

2 years

Introducing @JohnTorousMD , John joined us as an Associate Editor in November 2021. John is highly experienced in assessing manuscripts focused on digital psychiatry and mental health.

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npj Digital Medicine

@npjDigitalMed

8 months

Can a novel #DeepLearning algorithm to predict #sepsis in the emergency department improve care? Researchers from @UCSDHealth show proper implementation of the model can save lives of sepsis patients and improve quality metrics.

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npj Digital Medicine

@npjDigitalMed

1 year

This perspective proposes a framework to improve computational phenotyping by enhancing accessibility & usefulness. The authors present an example focussing on easy adoption, cross-task reusability, and clinical phenotyping algorithm development support

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npj Digital Medicine

@npjDigitalMed

2 years

We are thrilled to welcome Professor @adamdunn from @Sydney_Uni to our Associate Editor team! Adam brings a wealth of public health & clinical informatics expertise, with a particular interest in online misinformation & health behaviors.

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npj Digital Medicine

@npjDigitalMed

8 months

Mitigating the 'black box' of AI: LLMs can imitate diagnostic reasoning strategies when solving clinical cases & provide an interpretable means to assess if the generated answer is true/false based on the diagnostic reasoning's factual & logical accuracy.

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npj Digital Medicine

@npjDigitalMed

1 year

📢 Open for submissions, our new collection, Clinical Applications of AI in Mental Health Care. This collection is in collaboration with @npjMentalHealth & is Guest Edited by Eric Kuhn, @MauriceMulvenna , Raymond Bond, & @JohnTorousMD .

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npj Digital Medicine

@npjDigitalMed

10 months

New article! Read A medical multimodal large language model for future pandemics in npj Digital Med

A medical multimodal large language model for future pandemics

npj Digital Medicine - A medical multimodal large language model for future pandemics

www.nature.com

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npj Digital Medicine

@npjDigitalMed

4 months

Germany's DiGA program was the first to implement #DigitalTherapeutics on a large scale. Three years later, increased usage and accumulated experience have prompted regulatory changes that expand the program's scope.

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npj Digital Medicine

@npjDigitalMed

9 months

This umbrella review summarizes 48 #systematicreviews on effectiveness of app-based health interventions within patient populations published from 2013-23. Find out how skewed the evidence is towards some indications & where quality remains suboptimal:

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npj Digital Medicine

@npjDigitalMed

7 months

Claims about how #AI will increase efficiency are prominent but flawed, because they are based on studies of accuracy. Accuracy ≠ efficiency... We must remain conscious that an accurate model does not guarantee efficiency gains & workload reduction.

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npj Digital Medicine

@npjDigitalMed

9 months

A novel wearable-sensor dataset of healthcare workers from @sujnagaraj et al. reveals high levels of inter- & intra-individual heterogeneity in stress - an important step towards characterizing #stress in individuals.

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npj Digital Medicine

@npjDigitalMed

2 years

Using datasets of EHR + #echofirst , @David_Ouyang et al. found confounders mediate AI prediction of demographics. Unaccounted confounders provide a substantial amount of the information in “predicting race” and performance drops when balancing covariates.

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npj Digital Medicine

@npjDigitalMed

1 year

Breaking news 💥 Our Guest Editor Raymond Bond announces the launch of our new collection call for papers, Clinical applications of AI in mental health care. This is a collaboration with new launch @Nature_NPJ journal @npjMentalHealth .

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npj Digital Medicine

@npjDigitalMed

1 year

Advancing EHR-based deep phenotyping... An algorithm for mapping clinical Observational Medical Outcomes Partnership (OMOP) vocabularies to @OBOFoundry ontologies to help systematically identify undiagnosed patients who might benefit from genetic testing.

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npj Digital Medicine

@npjDigitalMed

1 year

A #deeplearning model, the Stanford Estimator of Electrocardiogram Risk, predicts long-term risk of #cardiovascular mortality and disease from a single ECG with performance better than current standard risk screening tools.

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npj Digital Medicine

@npjDigitalMed

24 days

Scaling AI for surgical guidance to operating rooms globally remains a major challenge, especially resource-limited settings. These authors describe a novel equipment-agnostic #MachineLearning pipeline to enable real-time deployment to any edge device.

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npj Digital Medicine

@npjDigitalMed

2 years

New editorial from our EiC @jkvedar and colleagues at @harvardmed . This piece focuses on promoting #RacialEquity in #DigitalHealth and suggests applying a framework to 3 areas within digital medicine 1⃣ #AI applications 2⃣ #Wearables 3⃣ #Telehealth

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npj Digital Medicine

@npjDigitalMed

2 years

Health data justice: "the study and use of health-related data in ways that aim to redress the exclusions of structurally marginalized communities from systems of health care and public health…" An interesting piece from @jayshaw29 & @sharifasekalala .

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npj Digital Medicine

@npjDigitalMed

1 year

Artificial intelligence for diagnosing psychological & neuro disorders is frequently studied in labs but rarely implemented clinically. This review outlines the biological, technical & institutional barriers to making diagnostic AI a reality in hospitals.

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npj Digital Medicine

@npjDigitalMed

6 months

Deep learning of ECGs can help identify patients with hidden #atrialfibrillation better than predictions based on clinical risk factors & echo measurements. This may offer additional opportunities to guide patient screening & support early intervention.

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npj Digital Medicine

@npjDigitalMed

16 days

Our most recent News & Views article examines the ethical tension between "selective deployment," where AI is used only for subgroups it performs well in, and "equitable deployment," which aims for fair performance across all groups. This article emphasizes the need for better

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npj Digital Medicine

@npjDigitalMed

2 months

New article! Read Navigating the European Union Artificial Intelligence Act for Healthcare in npj Digital Med

Navigating the European Union Artificial Intelligence Act for Healthcare

npj Digital Medicine - The European Union’s recently adopted Artificial Intelligence (AI) Act is the first comprehensive legal framework specifically on AI. This is particularly important for...

www.nature.com

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npj Digital Medicine

@npjDigitalMed

1 year

An #RCT led by @JRGolbus & @bnallamo from @umichCVC with 220 participants showed that contextually-tailored text messages from wearable devices may improve physical activity for some cardiac rehab participants but displayed no sig. difference at 6 months.

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npj Digital Medicine

@npjDigitalMed

2 years

Surgeons with different experience levels use different surgical gestures in robotic-assisted surgery. These gestures were predictive of 1-year postop function, suggesting gestures could objectively measure surgical performance + outcomes.

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npj Digital Medicine

@npjDigitalMed

6 months

Exploring evaluation metrics for health #Chatbots . What is the current norm? What are their weaknesses? This perspective also introduces a set of user-centered evaluation metrics, grouped into accuracy, trustworthiness, empathy, & computing performance

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npj Digital Medicine

@npjDigitalMed

4 months

Many #MachineLearning & AI algorithms struggle to generalize, preventing responsible deployment. @GSK AI/ML and @CC4AIM use a real-world case study to look at how selective predictions might be implemented technically & explore ethical implications.

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npj Digital Medicine

@npjDigitalMed

5 months

Studies of #AI in medicine may overestimate accuracy to new situations by 20%. Models learn hidden biases in X-rays, ECGs, clinical notes etc. instead of real disease markers. This study proposes a solution for inc. reliability in reporting of results.

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npj Digital Medicine

@npjDigitalMed

1 year

New article! Read Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications in npj Digital Med

Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent...

npj Digital Medicine - Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications

www.nature.com

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npj Digital Medicine

@npjDigitalMed

2 years

Exciting new work out in @npjdigitalmed by @DrVeronikaCH (prof @ITUkbh ) & @GaelVaroquaux (cofounder @scikit_learn ) proposes several opportunities for data scientists & researchers to advance the field of machine learning-based medical imaging analysis.

Machine learning for medical imaging: methodological failures and recommendations for the future

npj Digital Medicine - Machine learning for medical imaging: methodological failures and recommendations for the future

www.nature.com

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npj Digital Medicine

@npjDigitalMed

2 years

Christmas Catch-Up: Using a #digitalhealth platform to capture patient reported outcomes every 3 days after cardiac surgery showed that patient perception of recovery varies substantially, offering more granular info than conventional outcome metrics.

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npj Digital Medicine

@npjDigitalMed

11 months

Multicenter EHR data from >234k adult non-cardiac surgical patients is used to predict maximum pain after surgery. This #MachineLearning model prospectively outperformed clinicians, & can identify comorbidities that drive postoperative pain.

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npj Digital Medicine

@npjDigitalMed

2 years

Factors inc. sociodemographics, depression severity, phone status & app usage behavior could be linked to long-term participant retention in remote mobile health studies... Findings from a large European multinational remote digital study for #depression .

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npj Digital Medicine

@npjDigitalMed

2 years

New article! Read The evolution of digital health technologies in cardiovascular disease research in npj Digital Med

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npj Digital Medicine

@npjDigitalMed

1 month

New article! Read Digital biomarkers for precision diagnosis and monitoring in Parkinson’s disease in npj Digital Med

Digital biomarkers for precision diagnosis and monitoring in Parkinson’s disease

npj Digital Medicine - Digital biomarkers for precision diagnosis and monitoring in Parkinson’s disease

www.nature.com

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npj Digital Medicine

@npjDigitalMed

1 year

Building an AI-based 'clock' of physical activity & sleep during pregnancy from >1000 participants' wearable data. This model uses just a smartwatch to predict gestational age. Deviations from this 'clock' are very strongly associated with preterm birth.

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npj Digital Medicine

@npjDigitalMed

11 months

📢 Announcing our new collection🌍Harnessing digital health technologies to tackle climate change and promote human health🌍 Guest Edited by @JRedHeart @KariceHyun & @GeorgiaKatec . Deadline to submit 30 April 2024. More info🔗

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npj Digital Medicine

@npjDigitalMed

3 months

We’re excited to announce the first episode in the 'Who’s Who in Our 'X' Community?' series. We highlight @StanfordBDHG ’s efforts towards digital health education with @vishnuravi @PSchmiedmayer @DrAalami @StanfordSpezi . Mark your calendars for July 17th 12 pm EST, 9 am PDT.

npj Digital Medicine

@npjDigitalMed

3 months

What are some educational initiatives that you know of designed to educate medical or CS/Eng students about digital health? We’re starting a series to amplify such efforts. Tag them below!

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npj Digital Medicine

@npjDigitalMed

2 years

Another for our #digitalsurgery readers… This review explores current #computervision techniques applied to minimally invasive surgery, the clinical applications and discusses the challenges to wider adoption.

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npj Digital Medicine

@npjDigitalMed

1 year

New article! Read Collaborative strategies for deploying AI-based physician decision support systems: challenges and deployment approaches in npj Digital Med

Collaborative strategies for deploying AI-based physician decision support systems: challenges and...

npj Digital Medicine - AI-based prediction models demonstrate equal or surpassing performance compared to experienced physicians in various research settings. However, only a few have made it into...

www.nature.com

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npj Digital Medicine

@npjDigitalMed

2 years

New article! Read A large language model for electronic health records in npj Digital Med

A large language model for electronic health records

npj Digital Medicine - A large language model for electronic health records

www.nature.com

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npj Digital Medicine

@npjDigitalMed

1 year

New article! Read Perspectives on validation of clinical predictive algorithms in npj Digital Med

Perspectives on validation of clinical predictive algorithms

npj Digital Medicine - The generalizability of predictive algorithms is of key relevance to application in clinical practice. We provide an overview of three types of generalizability, based on...

www.nature.com

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npj Digital Medicine

@npjDigitalMed

18 days

Large language models ( #LLMs ) can effectively summarize medical evidence, but proprietary LLMs often lack transparency and create vendor dependency. This study showed that fine-tuning open-source LLMs significantly improves their performance, bringing some models, like LongT5,

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npj Digital Medicine

@npjDigitalMed

3 months

We love nothing more than a good author thread on their paper! Here is @JoschkaHalt describing his paper with @RobRanisch discussing the ethical landscape surrounding the current deployment of LLMs in medicine and healthcare.

Joschka Haltaufderheide

@JoschkaHalt

3 months

1/ How are #ChatGPT and other #LLMs used in #Medicine ? And what are the ethical implications? We say: It’s a social experiment unfolding right in front of us! Check out @robranisch ‘s and my new paper in @npjDigitalMed Let me give you a quick tour

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npj Digital Medicine

@npjDigitalMed

1 year

New article! Read An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals in npj Digital Med

An integrative review on the acceptance of artificial intelligence among healthcare professionals...

npj Digital Medicine - An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals

www.nature.com

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npj Digital Medicine

@npjDigitalMed

1 year

Measures derived from @fitbit + patient characteristics are used to train #MachineLearning models to detect abnormal recovery in children after appendectomy, with results supporting the use of remote monitoring for early detection of postop complications.

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npj Digital Medicine

@npjDigitalMed

1 year

This perspective provides an overview of the misalignments of current #ArtificialIntelligence fairness research, with discussion on the practical clinical concerns & the obstacles to AI fairness adaptation. #AIfairness

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npj Digital Medicine

@npjDigitalMed

2 years

New article! Read A “one-size-fits-most” walking recognition method for smartphones, smartwatches, and wearable accelerometers in npj Digital Med

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npj Digital Medicine

@npjDigitalMed

7 months

When adopting #AI in the real world, the trade-off between performance & cost-effectiveness needs examination. This case study on real-world #diabetic retinopathy screening in China suggests the most accurate AI may not be the most cost-effective.

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npj Digital Medicine

@npjDigitalMed

2 years

Huge congratulations to our Associate Editors @JohnTorousMD and Dr. John Rogers who made the @Clarivate Highly Cited Researchers 2022 list. #HighlyCited2022

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npj Digital Medicine

@npjDigitalMed

7 months

Smartphone typing dynamics and accelerometery was predictive of motivation levels & the ability to feel pleasure in suicidal ideation for people assigned female sex at birth in this study from @LoranKnol et al. #mentalhealth

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npj Digital Medicine

@npjDigitalMed

2 years

Introducing @KariceHyun , Karice joined us as an Associate Editor in June last year and is highly experienced in assessing biostatistics methodology.

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npj Digital Medicine

@npjDigitalMed

1 year

New article! Read Applying machine learning to consumer wearable data for the early detection of complications after pediatric appendectomy in npj Digital Med

Applying machine learning to consumer wearable data for the early detection of complications after...

npj Digital Medicine - Applying machine learning to consumer wearable data for the early detection of complications after pediatric appendectomy

www.nature.com

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npj Digital Medicine

@npjDigitalMed

7 months

New article! Read Integrating artificial intelligence into healthcare systems: more than just the algorithm in npj Digital Med

Integrating artificial intelligence into healthcare systems: more than just the algorithm

npj Digital Medicine - Boussina et al. recently evaluated a deep learning sepsis prediction model (COMPOSER) in a prospective before-and-after quasi-experimental study within two emergency...

www.nature.com

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npj Digital Medicine

@npjDigitalMed

8 months

A large language model fine-tuned on clinical notes to enhance Diagnosis-Related Group (DRG) assignment - a system to classify hospital cases. This model showed superior performance compared to prior models in the task of DRG prediction.

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npj Digital Medicine

@npjDigitalMed

1 year

Digital health interventions vary widely and control groups used to test the effects of these interventions are even more variable. This perspective proposes names for 11 commonly used control conditions & discusses the scientific implications of each.

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npj Digital Medicine

@npjDigitalMed

2 years

Clinicians perceive #MachineLearning as an augmentation rather than substitute to their clinical practice. This qualitative analysis by @KatharineEHenry , @suchisaria et al. explored opinions of clinicians working with a ML-based sepsis warning system...

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npj Digital Medicine

@npjDigitalMed

7 months

It's time for another weekend read editorial... This week, exploring #GenAI with Marium Raza, @KaushikVenkates & @jkvedar . Building on a recent framework from @MichaelWornow et al. this article includes an evaluation checklist for GenAI applied to EHRs.

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npj Digital Medicine

@npjDigitalMed

2 years

An interesting perspective this week discussing the #regulatory implications of changes from the EU's MDR regarding #digitalhealth apps.

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npj Digital Medicine

@npjDigitalMed

3 months

Using computer vision to transform smartphone videos into highly accurate tools for tremor analysis to rival gold-standard equipment... These digital biomarkers provide added value for assessing DBS outcomes in patients with essential tremor.

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npj Digital Medicine

@npjDigitalMed

2 months

Watch this clip to discover why @AjhungMD , a pioneer in medical AI 🌟, chose npj Digital Medicine to publish his research on bias mitigation, surgical AI, and more:

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npj Digital Medicine

@npjDigitalMed

1 year

A #MachineLearning pipeline to help identify skin tone representation in medical education textbooks. Notable findings that dermatology textbooks are biased with brown & black skin tone (Fitzpatrick V-VI) images constituting only 10.5% of all skin images

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npj Digital Medicine

@npjDigitalMed

1 year

New article! Read A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease in npj Digital Med

A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease

npj Digital Medicine - A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease

www.nature.com

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npj Digital Medicine

@npjDigitalMed

1 year

This study on #AI implementation finds that causal inference models, contextualized explanations, and ambidexterity between exploration versus exploitation mindsets can help bridge clinicians’ needs and developers' goals to solve the XAI conundrum.

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npj Digital Medicine

@npjDigitalMed

1 year

We have 3⃣ exciting open collections welcoming submissions, led by expert Guest Editors. 📌 Digital Technologies for Parkinson's Disease 📌 Clinical applications of AI in mental health care 📌 Regulated digital medical products Find out how to submit:

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npj Digital Medicine

@npjDigitalMed

2 years

Data from wearables can characterize daily physical activity and its change over time in persons with Amyotrophic Lateral Sclerosis, and were significantly associated with clinical patient reported outcome measures… a potential future digital endpoint?

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