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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: ML

FDA Forms Digital Health Advisory Committee

FDA Forms Digital Health Advisory Committee

October 13, 2023October 14, 2023HIT Consultant

What You Should Know: – The U.S. Food and Drug Administration (FDA) has formed a new Digital Health Advisory Committee to help the agency explore the complex, scientific and technical issues related to digital…

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ML Predicts Suicidal Ideation Among Sexual, Gender Minority Individuals

ML Predicts Suicidal Ideation Among Sexual, Gender Minority Individuals

September 22, 2023September 22, 2023Health IT Analytics

By Shania Kennedy

September 22, 2023 – Researchers demonstrated that a machine learning (ML) model could effectively predict short- and long-term suicidal ideation in sexual and gender minority individuals using ecological momentary assessment data, per a…

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ML Helps Identify Variations in Individualized Normal Temperature Ranges

ML Helps Identify Variations in Individualized Normal Temperature Ranges

September 19, 2023September 20, 2023Health IT Analytics

By Shania Kennedy

September 19, 2023 – Machine learning (ML) may help define personalized temperature norms and improve the clinical utility of oral temperature measurements, according to a study published this month in JAMA Internal Medicine.
Oral…

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KLAS Reports Published in August

KLAS Reports Published in August

September 19, 2023September 19, 2023KLAS Research

Get a glimpse of the healthcare IT research KLAS published during the month of August. All the insights KLAS uses come from the anonymous feedback of thousands of healthcare professionals using healthcare IT solutions…

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NTT, Japan's National Center for Neurology and Psychiatry building brain digital twin tech

NTT, Japan’s National Center for Neurology and Psychiatry building brain digital twin tech

September 18, 2023September 18, 2023Healthcare IT news

The National Center for Neurology and Psychiatry in Japan has partnered with NTT Corporation to develop a brain bio-digital twin technology to detect and prevent mental illnesses.WHAT IT’S ABOUT
A platform for processing digital twins,…

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Considerations for addressing bias in artificial intelligence for health equity

Considerations for addressing bias in artificial intelligence for health equity

September 12, 2023September 12, 2023npj Digital Medicine

Health equity is a primary goal of healthcare stakeholders: patients and their advocacy groups, clinicians, other providers and their professional societies, bioethicists, payors and value based care organizations, regulatory agencies, legislators, and creators of…

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Recommendations for the use of pediatric data in artificial intelligence and machine learning ACCEPT-AI

Recommendations for the use of pediatric data in artificial intelligence and machine learning ACCEPT-AI

September 6, 2023September 6, 2023npj Digital Medicine

ACCEPT-AI is a framework of recommendations for the safe inclusion of pediatric data in artificial intelligence and machine learning (AI/ML) research. It has been built on fundamental ethical principles of pediatric and AI research…

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Healthcare IT is Changing, Fast | Healthcare IT Today

Healthcare IT is Changing, Fast | Healthcare IT Today

September 5, 2023September 5, 2023Healthcare IT Today

The following is a guest article by Tim Bowe, CEO at Full Spectrum
Throughout the past few decades, we have seen cycles within the healthcare information systems space related to the pressure associated with changing…

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The Self-Driving Clinical Trial: Optimizing Research with AI and ML

The Self-Driving Clinical Trial: Optimizing Research with AI and ML

September 1, 2023September 2, 2023HIT Consultant

The power and potential of artificial intelligence (AI) and machine learning (ML) in the healthcare industry are unparalleled. The use of automated technology systems like digital workflows, orchestration and storing of data digitally is…

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Machine Learning Predicts Esophageal, Stomach Cancers Using EHR Data

Machine Learning Predicts Esophageal, Stomach Cancers Using EHR Data

August 28, 2023August 28, 2023Health IT Analytics

By Shania Kennedy

August 28, 2023 – A machine learning (ML) model can automatically predict esophageal adenocarcinoma (EAC) and gastric cardia adenocarcinoma (GCA) three years before a formal diagnosis, according to a study published recently in…

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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.

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