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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

UC Irvine is making big strides with nursing-focused AI models

UC Irvine is making big strides with nursing-focused AI models

March 21, 2024March 22, 2024Healthcare IT news

At the University of California Irvine Sue & Bill Gross School of Nursing, faculty researchers are developing innovative new ways to harness artificial intelligence for improved patient care quality and outcomes.Jung In Park, associate…

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AION Labs launches CombinAble.AI to design antibodies for therapeutic development

AION Labs launches CombinAble.AI to design antibodies for therapeutic development

March 15, 2024March 17, 2024MobiHealthNews

Israel-based AION Labs, an AI-enabled drug discovery partnership between global pharma and tech companies, announced the launch of a new startup company CombineAble.AI, which will speed up the development of therapeutics by addressing challenges…

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Informing immunotherapy with multi-omics driven machine learning

Informing immunotherapy with multi-omics driven machine learning

March 14, 2024March 16, 2024npj Digital Medicine

Progress in sequencing technologies and clinical experiments has revolutionized immunotherapy on solid and hematologic malignancies. However, the benefits of immunotherapy are limited to specific patient subsets, posing challenges for broader application. To improve its…

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Characterising user engagement with mHealth for chronic disease self-management and impact on machine learning performance

Characterising user engagement with mHealth for chronic disease self-management and impact on machine learning performance

March 12, 2024March 13, 2024npj Digital Medicine

Mobile Health (mHealth) has the potential to be transformative in the management of chronic conditions. Machine learning can leverage self-reported data collected with apps to predict periods of increased health risk, alert users, and…

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How AI is transforming medical coding for physicians and coders

How AI is transforming medical coding for physicians and coders

March 8, 2024March 8, 2024Healthcare IT news

Revenue cycle management performance has never been more important. And recent advances in technology, particularly artificial intelligence, offer much potential for healthcare’s administrative functions.The RCM function could lay the foundation to harness technology to…

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RadiantGraph Appoints Dr. Geeta Nayyar as Chief Medical Officer & Kirk Goodman as SVP of Commercial

RadiantGraph Appoints Dr. Geeta Nayyar as Chief Medical Officer & Kirk Goodman as SVP of Commercial

March 8, 2024March 9, 2024HIT Consultant

Dr. Geeta Nayyar, Chief Medical Officer at RadiantGraph

Kirk Goodman, SVP of Commercial at RadiantGraph

What You Should Know:

– RadiantGraph, a healthcare personalization platform powered by AI and machine learning, has announced the strategic…

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Rhapsody Launches AI for Identity with Rhapsody Autopilot

Rhapsody Launches AI for Identity with Rhapsody Autopilot

March 8, 2024March 9, 2024HIT Consultant

What You Should Know:

– Rhapsody, a leader in digital health enablement, has unveiled a groundbreaking technology called Rhapsody Autopilot.

– The first-of-its-kind solution utilizes machine learning (ML) to automatically link patient records, ensuring a comprehensive…

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Federated Learning's Potential to Transform Healthcare and Patient Outcomes

Federated Learning’s Potential to Transform Healthcare and Patient Outcomes

March 7, 2024March 8, 2024HIT Consultant

Gerald A. Maccioli, Chief Medical Officer, HHS Technology Group Faiyaz Shikari, Chief Technology Officer, HHS Technology Group The healthcare landscape stands poised for a groundbreaking transformation, driven by a powerful, privacy-preserving machine learning technique: federated learning.  In…

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How simulation can help solve the NHS elective care backlog | Digital Health

How simulation can help solve the NHS elective care backlog | Digital Health

March 6, 2024March 6, 2024Digital Health

Simulation technology takes the risk out of decision-making to reveal the ideas, technologies, changes in pathways and processes that will improve healthcare, writes Tom StephensonThere’s widespread agreement that the development of new technologies will…

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AI and ML can help providers manage rev cycle staffing challenges

AI and ML can help providers manage rev cycle staffing challenges

March 5, 2024March 6, 2024Healthcare IT news

The healthcare revenue cycle space is facing a staffing shortage. But as hospitals and health systems manage workforce challenges and related financial impacts from bottlenecks in claims submissions and follow-ups, more are finding help…

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You have to understand what are they worried about, what are their fears, what are they trying to do? If we don’t engage with them that way, it doesn’t matter what technology we use.

Roy Rossin

Recent Posts

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    February 1, 2026February 1, 2026Comments Off on Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs
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