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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: model

Republicans want changes from HHS on AI assurance labs

Republicans want changes from HHS on AI assurance labs

December 3, 2024December 3, 2024Healthcare IT news

Some members of Congress are asking the U.S. Health and Human Services to back away from a years-long effort to establish government-administered artificial intelligence assurance labs and create an AI assurance lab model in…

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System C to trial AI assistant to ease NHS social care admin

System C to trial AI assistant to ease NHS social care admin

December 3, 2024December 3, 2024Digital Health

System C is trialling an AI assistant for social care in the NHS, developed in partnership with Microsoft to support social care practitioners by reducing their admin burden.
The technology, which will  be available within…

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CHOP makes available its AI model that can enhance tumor analysis

CHOP makes available its AI model that can enhance tumor analysis

December 2, 2024December 3, 2024Healthcare IT news

By expediting the first step of spatial omics data analysis, the new artificial intelligence model provides detailed insights into how a disease develops and progresses at the cellular level and can advance precise diagnostics and…

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Impact of human and artificial intelligence collaboration on workload reduction in medical image interpretation

Impact of human and artificial intelligence collaboration on workload reduction in medical image interpretation

November 30, 2024December 1, 2024npj Digital Medicine

Clinicians face increasing workloads in medical imaging interpretation, and artificial intelligence (AI) offers potential relief. This meta-analysis evaluates the impact of human-AI collaboration on image interpretation workload. Four databases were searched for studies comparing…

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Phenotyping people with a history of injecting drug use within electronic medical records using an interactive machine learning approach

Phenotyping people with a history of injecting drug use within electronic medical records using an interactive machine learning approach

November 30, 2024November 30, 2024npj Digital Medicine

People with a history of injecting drug use are a priority for eliminating blood-borne viruses and sexually transmissible infections. Identifying them for disease surveillance in electronic medical records (EMRs) is challenged by sparsity of…

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A machine-learned model for predicting weight loss success using weight change features early in treatment

A machine-learned model for predicting weight loss success using weight change features early in treatment

November 29, 2024November 29, 2024npj Digital Medicine

Stepped-care obesity treatments aim to improve efficiency by early identification of non-responders and adjusting interventions but lack validated models. We trained a random forest classifier to improve the predictive utility of a clinical decision…

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An optimal antibiotic selection framework for Sepsis patients using Artificial Intelligence

An optimal antibiotic selection framework for Sepsis patients using Artificial Intelligence

November 29, 2024November 29, 2024npj Digital Medicine

In this work we present OptAB, the first completely data-driven online-updateable antibiotic selection model based on Artificial Intelligence for Sepsis patients accounting for side-effects. OptAB performs an iterative optimal antibiotic selection for real-world Sepsis…

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A virtual scalable model of the Hepatic Lobule for acetaminophen hepatotoxicity prediction

A virtual scalable model of the Hepatic Lobule for acetaminophen hepatotoxicity prediction

November 28, 2024November 28, 2024npj Digital Medicine

Addressing drug-induced liver injury is crucial in drug development, often causing Phase III trial failures and market withdrawals. Traditional animal models fail to predict human liver toxicity accurately. Virtual twins of human organs present…

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Hippocratic AI receives its first U.S. patent for LLM innovations

Hippocratic AI receives its first U.S. patent for LLM innovations

November 28, 2024November 28, 2024MobiHealthNews

Safety-focused large language model company Hippocratic AI has been issued its first patent by the U.S. Patent Office, which includes the company’s LLM innovations incorporated into its safety-focused LLM built with a constellation architecture…

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Cofactor AI secures $4M in funding for combating claims denials

Cofactor AI secures $4M in funding for combating claims denials

November 27, 2024November 28, 2024MobiHealthNews

Cofactor AI, a company that helps hospitals appeal claims denials, announced it raised $4 million in a seed funding round led by Drive Capital. WHAT IT DOES
Cofactor AI’s platform, Cofactor Denial Suite, combines with EHR…

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