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Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

February 1, 2026February 1, 2026
Weekly Roundup – January 31, 2026

Weekly Roundup – January 31, 2026

January 31, 2026February 1, 2026
Embedding clinical intelligence to help close care gaps

Embedding clinical intelligence to help close care gaps

January 31, 2026January 31, 2026
Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

January 31, 2026January 31, 2026
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Tag: Machine Learning

Epic leads new effort to democratize health AI validation

Epic leads new effort to democratize health AI validation

May 29, 2024May 29, 2024Healthcare IT news

Epic this past week announced the availability of new software that could help hospitals and health systems assess and validate artificial intelligence models.Aimed at healthcare organizations that might otherwise lack resources to properly validate their…

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Improving Wound Care with Healthy.io: Insights from the Beckenham District Nursing Team - DigitalHealth.London

Improving Wound Care with Healthy.io: Insights from the Beckenham District Nursing Team – DigitalHealth.London

May 28, 2024May 31, 2024DigitalHealth.London

In this case study, Sandra Firth, Neighbourhood Clinical Team Manager at Beckenham and Penge District Nursing, shares how DigitalHealth.London Accelerator company Healthy.io’s wound management app Minuteful for Wound has helped the Beckenham District Nursing…

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A wearable sensor and machine learning estimate step length in older adults and patients with neurological disorders

A wearable sensor and machine learning estimate step length in older adults and patients with neurological disorders

May 25, 2024May 25, 2024npj Digital Medicine

Step length is an important diagnostic and prognostic measure of health and disease. Wearable devices can estimate step length continuously (e.g., in clinic or real-world settings), however, the accuracy of current estimation methods is…

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Redox, Snowflake Partner to Streamline Healthcare Data Exchange for AI and Machine Learning

Redox, Snowflake Partner to Streamline Healthcare Data Exchange for AI and Machine Learning

May 24, 2024May 24, 2024HIT Consultant

What You Should Know: 

– Redox, a healthcare interoperability company, and Snowflake, the Data Cloud company, have joined forces to simplify the exchange of healthcare data.

– This strategic partnership aims to revolutionize how healthcare organizations…

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Early adverse physiological event detection using commercial wearables: challenges and opportunities

Early adverse physiological event detection using commercial wearables: challenges and opportunities

May 23, 2024May 24, 2024npj Digital Medicine

Data from commercial off-the-shelf (COTS) wearables leveraged with machine learning algorithms provide an unprecedented potential for the early detection of adverse physiological events. However, several challenges inhibit this potential, including (1) heterogeneity among and…

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House Health Subcommittee grills FDA leaders over med device missteps

House Health Subcommittee grills FDA leaders over med device missteps

May 23, 2024May 23, 2024Healthcare IT news

During the House Energy and Commerce Health Subcommittee hearing on the U.S. Food and Drug Administration’s regulation of drugs, biologics and medical devices on Wednesday, representatives fired questions at FDA directors. The lawmakers said they…

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Development and validation of machine learning algorithms based on electrocardiograms for cardiovascular diagnoses at the population level

Development and validation of machine learning algorithms based on electrocardiograms for cardiovascular diagnoses at the population level

May 18, 2024May 18, 2024npj Digital Medicine

Artificial intelligence-enabled electrocardiogram (ECG) algorithms are gaining prominence for the early detection of cardiovascular (CV) conditions, including those not traditionally associated with conventional ECG measures or expert interpretation. This study develops and validates such…

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StrokeClassifier: ischemic stroke etiology classification by ensemble consensus modeling using electronic health records

StrokeClassifier: ischemic stroke etiology classification by ensemble consensus modeling using electronic health records

May 17, 2024May 17, 2024npj Digital Medicine

Determining acute ischemic stroke (AIS) etiology is fundamental to secondary stroke prevention efforts but can be diagnostically challenging. We trained and validated an automated classification tool, StrokeClassifier, using electronic health record (EHR) text from…

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An operational guide to translational clinical machine learning in academic medical centers

An operational guide to translational clinical machine learning in academic medical centers

May 17, 2024May 17, 2024npj Digital Medicine

Few published data science tools are ever translated from academia to real-world clinical settings for which they were intended. One dimension of this problem is the software engineering task of turning published academic projects…

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Accenture Backs Turbine's AI-Powered Platform to Accelerate Drug Discovery

Accenture Backs Turbine’s AI-Powered Platform to Accelerate Drug Discovery

May 16, 2024May 17, 2024HIT Consultant

What You Should Know: 

– Accenture Ventures, the venture capital arm of Accenture, has announced a strategic investment in Turbine, a company pioneering the use of predictive cell simulations for drug development. 

– The investment aims…

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