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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: Health Analytics

AI Pain Recognition Tool Detects Pain Before, During and After Surgery

AI Pain Recognition Tool Detects Pain Before, During and After Surgery

October 18, 2023October 18, 2023Health IT Analytics

By Shania Kennedy

October 18, 2023 – Researchers presenting at the ANESTHESIOLOGY 2023 annual meeting demonstrated that an automated pain recognition system leveraging artificial intelligence (AI) may be capable of detecting pain in patients before, during,…

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Predictive Models May Negatively Impact the Performance of Future Tools

Predictive Models May Negatively Impact the Performance of Future Tools

October 12, 2023October 12, 2023Health IT Analytics

By Shania Kennedy

October 12, 2023 – Researchers from the Mount Sinai Icahn School of Medicine and the University of Michigan have found that the deployment of predictive analytics tools may influence the predictive capabilities of…

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Precision Medicine Tool May Accurately Predict Bariatric Surgery Outcomes

Precision Medicine Tool May Accurately Predict Bariatric Surgery Outcomes

October 2, 2023October 2, 2023Health IT Analytics

By Shania Kennedy

October 02, 2023 – Researchers at the University of Buffalo (UB) have demonstrated that a tool originally designed to predict a patient’s risk level for various addictions using genetic and psychosocial factors can…

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University of Texas Awarded Funding for Disease Relapse Prediction AI

University of Texas Awarded Funding for Disease Relapse Prediction AI

September 27, 2023September 28, 2023Health IT Analytics

By Shania Kennedy

September 27, 2023 – Researchers at the University of Texas at Arlington (UTA) have been awarded a $450,000 grant from the National Institute of General Medical Sciences to develop a machine learning-based model…

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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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Breast Cancer Detection AI Performs On Par with Human Mammogram Readers

Breast Cancer Detection AI Performs On Par with Human Mammogram Readers

September 19, 2023September 19, 2023Health IT Analytics

By Shania Kennedy

September 19, 2023 – The diagnostic performance of a commercially available artificial intelligence (AI) algorithm was comparable with that of human readers of mammograms, according to a study published recently in Radiology.
Screening mammograms…

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Pancreatic Cancer Prediction Model May Reduce Unnecessary Biopsies

Pancreatic Cancer Prediction Model May Reduce Unnecessary Biopsies

September 13, 2023September 14, 2023Health IT Analytics

By Shania Kennedy

September 13, 2023 – Researchers have developed and externally validated a prediction model to detect early-stage pancreatic cancer using routinely collected blood biomarkers, according to a recent study published in JAMA Network Open.
The…

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Artificial Intelligence Flags Knee Osteoarthritis Using Medical Images

Artificial Intelligence Flags Knee Osteoarthritis Using Medical Images

September 11, 2023September 11, 2023Health IT Analytics

By Shania Kennedy

September 11, 2023 – Researchers from the University of Texas at Austin’s (UT Austin) College of Natural Sciences and Dell Medical School have developed an artificial intelligence (AI) model capable of identifying knee…

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Pathology Foundation Model Leverages Medical Twitter Images, Comments

Pathology Foundation Model Leverages Medical Twitter Images, Comments

September 6, 2023September 7, 2023Health IT Analytics

By Shania Kennedy

September 06, 2023 – Researchers from Stanford have leveraged pathology images and comments from Twitter, now known as X, to develop a large public dataset and artificial intelligence (AI) model for pathology image…

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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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