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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

Omitting Race, Ethnicity from Risk Models May Lead to Health Disparities

Omitting Race, Ethnicity from Risk Models May Lead to Health Disparities

June 19, 2023June 20, 2023Health IT Analytics

By Shania Kennedy

June 19, 2023 – Researchers have shown that omitting race and ethnicity as predictors in colorectal cancer recurrence risk prediction models may be associated with racial and ethnic biases that contribute to health…

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ChatGPT, Generative AI Show Promise as Complex Diagnostic Tools

ChatGPT, Generative AI Show Promise as Complex Diagnostic Tools

June 16, 2023June 17, 2023Health IT Analytics

By Shania Kennedy

June 16, 2023 – Researchers from Beth Israel Deaconess Medical Center (BIDMC) demonstrated that generative artificial intelligence (AI) technologies, such as ChatGPT, may serve as promising assistive tools for clinicians trying to solve…

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Can Docs Use Machine Learning to Determine COVID Treatment Course?

Can Docs Use Machine Learning to Determine COVID Treatment Course?

June 15, 2023June 17, 2023Health IT Analytics

By Mark Melchionna

June 15, 2023 – Using data from a Chinese hospital, researchers from the University of California, Riverside (UCR), found that a mchine learning (ML) approach could assess patient age, weight, and other illnesses…

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Larger Healthcare Organizations Use More AI Solutions Than Smaller Ones

Larger Healthcare Organizations Use More AI Solutions Than Smaller Ones

June 14, 2023June 16, 2023Health IT Analytics

By Mark Melchionna

June 14, 2023 – A report from the Center for Connected Medicine and KLAS provided data surrounding the growth of the artificial intelligence (AI) market along with the high frequency associated with using…

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Deep Learning System May Provide Automatic Surgical Skill Assessment

Deep Learning System May Provide Automatic Surgical Skill Assessment

June 13, 2023June 14, 2023Health IT Analytics

By Shania Kennedy

June 13, 2023 – Researchers have developed a deep learning (DL) model capable of recognizing standardized surgical fields and performing automatic surgical skill assessments using intraoperative videos of laparoscopic colorectal procedures, according to…

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ChatGPT Fails American Urological Association Self-Assessment Exam

ChatGPT Fails American Urological Association Self-Assessment Exam

June 12, 2023June 13, 2023Health IT Analytics

By Shania Kennedy

June 12, 2023 – A study published last week in Urology Practice demonstrated that ChatGPT performed poorly on the 2022 American Urological Association (AUA) Self-assessment Study Program exam, indicating that the tool may…

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ML Provides Personalized Hypertension Treatment Recommendations

ML Provides Personalized Hypertension Treatment Recommendations

June 9, 2023June 11, 2023Health IT Analytics

By Shania Kennedy

June 09, 2023 – Boston University (BU) researchers have co-developed a machine learning (ML) model designed to provide personalized hypertension treatment recommendations and assist clinicians with choosing which hypertensive medication may be the…

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AI Algorithms Outperform Standard Models in Cancer Prediction

AI Algorithms Outperform Standard Models in Cancer Prediction

June 8, 2023June 10, 2023Health IT Analytics

By Mark Melchionna

June 08, 2023 – Research from the Radiological Society of North America (RSNA) indicates that artificial intelligence (AI) algorithms performed better than the Breast Cancer Surveillance Consortium (BCSC) risk model in predicting the…

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DL Approach Enables Interpretations of Electrocardiograms as Language

DL Approach Enables Interpretations of Electrocardiograms as Language

June 8, 2023June 9, 2023Health IT Analytics

By Shania Kennedy

June 08, 2023 – Researchers from Mount Sinai have developed deep learning (DL)-based model for electrocardiogram (ECG) analysis that enables the interpretation of ECGs as language and may improve ECG-related diagnoses, according to…

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Dartmouth Launches Center for Artificial Intelligence, Precision Medicine

Dartmouth Launches Center for Artificial Intelligence, Precision Medicine

June 7, 2023June 8, 2023Health IT Analytics

By Shania Kennedy

June 07, 2023 – Dartmouth launched its Center for Precision Health and Artificial Intelligence (CPHAI) this week, which is set to advance interdisciplinary research into how artificial intelligence (AI) and biomedical data can…

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With respect to healthcare, I see digital transformation as a formula: simplified patient journey + streamlined employee workflow = a memorable experience. The ability to distill the patient touch points down to only what is necessary, make the behind-the-scenes workflow less cumbersome (reducing silos and friction points) and accelerate the entire throughput with carefully selected and complementary technology is the essence of digital transformation. Process is always upstream from technology, and any digital effort should take that into consideration.

Tom Barnett

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