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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

Automation Bias May Impair Radiologist Performance on Mammograms

Automation Bias May Impair Radiologist Performance on Mammograms

May 11, 2023May 12, 2023Health IT Analytics

By Shania Kennedy

May 11, 2023 – Incorrect advice from artificial intelligence (AI)-based decision support systems may negatively impact the performance and accuracy of radiologists at all levels of expertise when reading mammograms, according to a…

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Can Machine Learning, Wearable Tech Help Treat Mental Health?

Can Machine Learning, Wearable Tech Help Treat Mental Health?

May 9, 2023May 10, 2023Health IT Analytics

By Mark Melchionna

May 09, 2023 – New research from the Icahn School of Medicine at Mount Sinai in New York indicated that using Apple Watch data, such as heart rate variability and resting heart rate,…

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Machine Learning Helps Identify Pneumonia as Driver of COVID-19 Deaths

Machine Learning Helps Identify Pneumonia as Driver of COVID-19 Deaths

May 8, 2023May 9, 2023Health IT Analytics

By Shania Kennedy

May 08, 2023 – Northwestern University researchers found that secondary bacterial pneumonia was a major driver of COVID-19 deaths in critically ill patients following a machine learning (ML)-based analysis of medical record data. 
The…

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AI May Improve Clinician Decision-Making Within ICUs

AI May Improve Clinician Decision-Making Within ICUs

May 4, 2023May 5, 2023Health IT Analytics

By Mark Melchionna

May 04, 2023 – In collaboration with the University of Pittsburgh and UPMC, researchers from Carnegie Mellon University’s Human-Computer Interaction Institute (HCII) found that an artificial intelligence (AI)-based tool assisted intensive care unit…

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Missing Data May Contribute to Health Disparities in Children with Lupus

Missing Data May Contribute to Health Disparities in Children with Lupus

May 4, 2023May 4, 2023Health IT Analytics

By Shania Kennedy

May 04, 2023 – Researchers have found that missing data on socioeconomic, demographic, and clinical factors may negatively impact health equity for pediatric patients with childhood-onset systemic lupus erythematosus (cSLE). 
The findings were described…

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AI In Medical Imaging May Amplify Biases, Inequities

AI In Medical Imaging May Amplify Biases, Inequities

May 3, 2023May 4, 2023Health IT Analytics

By Shania Kennedy

May 03, 2023 – Researchers from the University of Maryland School of Medicine (UMSOM) found that most crowd-sourced datasets used in medical imaging data science competitions to develop artificial intelligence (AI) algorithms do…

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AI Can Help Improve Clinical Attendance Among Minority Patients

AI Can Help Improve Clinical Attendance Among Minority Patients

May 2, 2023May 3, 2023Health IT Analytics

By Mark Melchionna

May 02, 2023 – Led by MetroHealth and Case Western Reserve University (CWRU) researchers and published in the Journal of General Internal Medicine, new research indicates a high level of success associated with…

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Cedars-Sinai Develops AI to Predict Adverse Cardiac Events

Cedars-Sinai Develops AI to Predict Adverse Cardiac Events

May 2, 2023May 2, 2023Health IT Analytics

By Shania Kennedy

May 02, 2023 – Cedars-Sinai researchers have developed an artificial intelligence (AI) tool that can predict a patient’s chance of adverse cardiac events, such as a heart attack, and demonstrate how that patient’s…

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FL Cancer Center Joins Global Genomic Data Sharing Registry

FL Cancer Center Joins Global Genomic Data Sharing Registry

May 1, 2023May 1, 2023Health IT Analytics

By Shania Kennedy

May 01, 2023 – Sylvester Comprehensive Cancer Center, part of University of Miami Health System (UHealth), has been selected for membership in a global genomic data consortium supporting the American Association for Cancer…

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Artificial Intelligence Reviews Patient Perceptions of Cholesterol Drugs

Artificial Intelligence Reviews Patient Perceptions of Cholesterol Drugs

April 28, 2023April 29, 2023Health IT Analytics

By Mark Melchionna

April 28, 2023 – Researchers at Stanford Medicine developed an artificial intelligence (AI) algorithm that can analyze Reddit data containing patient perceptions of statins, assessing positive and negative feedback along with discussion…

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It all comes back to helping patients. That's the reason why we have an innovations office. We have some of the best physicians, scientists and engineers in the world right here in Cleveland who come up with brilliant ideas every day. And we need a way of bringing these to the market to help patients today and in the future. We want to reduce healthcare costs if we can come up with a less expensive way of doing something. We need to innovate around what we traditionally do but then also look at new avenues that we can explore to impact patient care.

D. Geoffrey Vince

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