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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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Category: Health IT Analytics

Artificial Intelligence Shows Potential for Diagnosing Pancreatic Cancer

Artificial Intelligence Shows Potential for Diagnosing Pancreatic Cancer

April 6, 2023April 6, 2023Health IT Analytics

By Mark Melchionna April 06, 2023 – Published in JMIR, new research found that the use of artificial intelligence (AI) to diagnose, predict risks of, differentiate, and segment pancreatic cancer led to high levels of accuracy,…

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ML Helps Stratify Adverse Outcome Risk in Older Cancer Patients

ML Helps Stratify Adverse Outcome Risk in Older Cancer Patients

April 6, 2023April 6, 2023Health IT Analytics

By Shania Kennedy April 06, 2023 – A study published last month in JAMA Network Open described a new machine learning (ML) tool that may assist clinicians in identifying older adults with advanced cancer who…

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Coalition for Health AI Releases Blueprint for Trustworthy AI in Healthcare

Coalition for Health AI Releases Blueprint for Trustworthy AI in Healthcare

April 5, 2023April 6, 2023Health IT Analytics

By Shania Kennedy April 05, 2023 – The Coalition for Health AI (CHAI) released its ‘Blueprint for Trustworthy AI Implementation Guidance and Assurance for Healthcare’ this week, which outlines recommendations to increase trustworthiness and promote…

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NIH Grant Aims to Enhance Artificial Intelligence Use in Healthcare

NIH Grant Aims to Enhance Artificial Intelligence Use in Healthcare

April 4, 2023April 5, 2023Health IT Analytics

By Mark Melchionna April 04, 2023 – After receiving $5.9 million in funding from the National Institutes of Health (NIH), two researchers from the University of Virginia (UVA) aim to determine how artificial intelligence (AI)…

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Wearables, ML Predict ADHD, Sleep Problems in Children

Wearables, ML Predict ADHD, Sleep Problems in Children

April 4, 2023April 4, 2023Health IT Analytics

By Shania Kennedy April 04, 2023 – A study published last month in JAMA Network Open describes how researchers combined data from wearable devices and machine-learning (ML) methodologies to help predict attention-deficit/hyperactivity disorder (ADHD) and…

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Machine-Learning Model Estimates US Firearm Homicides in Near Real Time

Machine-Learning Model Estimates US Firearm Homicides in Near Real Time

April 3, 2023April 4, 2023Health IT Analytics

By Shania Kennedy April 03, 2023 – Researchers have developed a machine-learning (ML) model designed to use secondary data sources to accurately estimate the near real-time burden of weekly and annual firearm homicides in the…

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ML Model Uses Time, Location Data to Predict COVID-19 Transmission

ML Model Uses Time, Location Data to Predict COVID-19 Transmission

March 31, 2023April 2, 2023Health IT Analytics

By Shania Kennedy March 31, 2023 – Researchers from Carnegie Mellon University (CMU) have developed a machine learning (ML) tool designed to predict COVID-19 transmission using location and time data, according to a study published…

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AI Shows Potential for Automating Hip Fractures Diagnosis

AI Shows Potential for Automating Hip Fractures Diagnosis

March 30, 2023March 31, 2023Health IT Analytics

By Mark Melchionna March 30, 2023 – A recent study published in JAMA Network Open found that machine-learning (ML) and artificial intelligence (AI) algorithms could use radiographs to diagnose hip fractures with comparable accuracy to…

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Artificial Intelligence Aids Psoriasis Severity Assessment

Artificial Intelligence Aids Psoriasis Severity Assessment

March 30, 2023March 30, 2023Health IT Analytics

By Shania Kennedy March 30, 2023 – Researchers have developed an artificial intelligence (AI)-based tool for the assessment of psoriasis severity in an effort to facilitate long-term chronic disease self-management for patients, according to a…

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Data-Sharing Collaboration Aims to Advance Cancer Prevention

Data-Sharing Collaboration Aims to Advance Cancer Prevention

March 29, 2023March 29, 2023Health IT Analytics

By Shania Kennedy March 29, 2023 – The University of Texas (UT) Southwestern Medical Center and the UT Health Science Center at San Antonio launched a partnership with healthcare data privacy startup TripleBlind to study…

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The physical space of the hospital will be gradually digitized until virtually every object and sensor becomes part of the so-called 'Internet of Things.' These innovations can broadly be categorized as either clinical or experiential, though some will be both. Clinical innovations will involve gathering ever more "signals" from the patient (infrared, sound, electrophysiology, pulse-oximeter, facial expression, etc.) to be sifted in real time through machine-learning algorithms that will help physicians refine their understanding of diagnosis and prognosis in ways we can only imagine today. Experiential innovations will allow health systems and their partners to take a page from Netflix, using the engagement opportunity of the acute care episode to stream digital content to patients and families through TVs, tablets and their own devices from home.

Daniel Durand

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