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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

Machine Learning Predicts Cancer Risk in Liver Disease Patients

Machine Learning Predicts Cancer Risk in Liver Disease Patients

March 5, 2024March 5, 2024Health IT Analytics

By Shania Kennedy

March 05, 2024 – A research team from UC Davis Health developed a machine learning (ML) tool to identify which patients are at increased risk of developing hepatocellular carcinoma (HCC), a common type…

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AI Smartphone Tool Accurately Diagnoses Pediatric Ear Infections

AI Smartphone Tool Accurately Diagnoses Pediatric Ear Infections

March 4, 2024March 5, 2024Health IT Analytics

By Shania Kennedy

March 04, 2024 – Researchers from the University of Pittsburgh (Pitt) and UPMC have developed a smartphone application that leverages artificial intelligence (AI) to diagnose ear infections, specifically acute otitis media (AOM), in…

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Machine Learning Models Predict Mortality Among Dementia Patients

Machine Learning Models Predict Mortality Among Dementia Patients

February 29, 2024February 29, 2024Health IT Analytics

By Shania Kennedy

February 29, 2024 – Researchers at the Icahn School of Medicine at Mount Sinai have developed machine learning (ML) models to identify mortality predictors in dementia patients, according to a study published this…

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NLP Framework Could Improve Medical Summarization Tools

NLP Framework Could Improve Medical Summarization Tools

February 27, 2024February 27, 2024Health IT Analytics

By Shania Kennedy

February 27, 2024 – Researchers from Pennsylvania State University (PSU) have developed a natural language processing (NLP) framework to improve the efficiency and reliability of artificial intelligence (AI)-driven medical text summarization tools.
The medical…

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GPT-4 Matches Ophthalmologists in Glaucoma, Retina Management

GPT-4 Matches Ophthalmologists in Glaucoma, Retina Management

February 23, 2024February 23, 2024Health IT Analytics

By Shania Kennedy

February 23, 2024 – Researchers from the New York Eye and Ear Infirmary of Mount Sinai (NYEE) demonstrated that OpenAI’s Generative Pre-Training–Model 4 (GPT-4)can match, or in some cases outperform, ophthalmologists in the…

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Hartford HealthCare Launches Center for AI Innovation

Hartford HealthCare Launches Center for AI Innovation

February 21, 2024February 21, 2024Health IT Analytics

By Shania Kennedy

February 21, 2024 – Hartford HealthCare has launched its Center for Artificial Intelligence (AI) Innovation in Healthcare, one of a handful of such centers in the United States set to pursue AI research…

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Auditing Framework Provides Insights into ‘Black Box’ Medical AI

Auditing Framework Provides Insights into ‘Black Box’ Medical AI

February 16, 2024February 16, 2024Health IT Analytics

By Shania Kennedy

February 16, 2024 – Researchers from Stanford University and the University of Washington have developed an auditing framework designed to shed light on the ‘black box’ decision-making processes of healthcare artificial intelligence (AI)…

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AI Chatbots Provide Inconsistent Musculoskeletal Health Information

AI Chatbots Provide Inconsistent Musculoskeletal Health Information

February 14, 2024February 14, 2024Health IT Analytics

By Shania Kennedy

February 14, 2024 – Artificial intelligence (AI) chatbots like ChatGPT, Google Bard, and BingAI provide information about musculoskeletal health with inconsistent accuracy, according to recent studies presented at the 2024 Annual Meeting of…

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$4M Grant to Fund Development of Sleep Apnea Outcome Prediction Tools

$4M Grant to Fund Development of Sleep Apnea Outcome Prediction Tools

February 12, 2024February 13, 2024Health IT Analytics

By Shania Kennedy

February 12, 2024 – Researchers from Mount Sinai have been awarded $4.1 million from the National Heart, Lung, and Blood Institute (NHLBI) at the National Institutes of Health (NIH) to develop artificial intelligence…

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AI Provides Personalized Treatment Strategies for Esophageal Cancer

AI Provides Personalized Treatment Strategies for Esophageal Cancer

February 8, 2024February 9, 2024Health IT Analytics

By Shania Kennedy

February 08, 2024 – A research team from the University of Texas at Arlington (UTA) has developed an algorithm to provide optimal personalized treatment options for esophageal cancer patients, according to a January…

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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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