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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: algorithms

Integrative machine learning models predict prostate cancer diagnosis and biochemical recurrence risk: Advancing precision oncology

Integrative machine learning models predict prostate cancer diagnosis and biochemical recurrence risk: Advancing precision oncology

August 16, 2025August 16, 2025npj Digital Medicine

Prostate cancer (PCa) ranks among the most prevalent cancers in men worldwide. Biochemical recurrence (BCR) presents a major clinical challenge in PCa management, with significant prognostic heterogeneity observed among patients post-recurrence. This study aimed…

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Health AI Revolutionizes Stroke Treatment Success

Health AI Revolutionizes Stroke Treatment Success

August 13, 2025August 13, 2025DistilINFO Hospital IT

Revolutionary AI Technology Transforms Emergency Care
Detroit-based Henry Ford Health has revolutionized stroke treatment by implementing cutting-edge artificial intelligence technology that dramatically reduces treatment times and saves lives. The healthcare system’s adoption of RapidAI, an…

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AI Predicts Hospital Admissions Better

AI Predicts Hospital Admissions Better

August 12, 2025August 12, 2025DistilINFO Hospital IT

Revolutionary AI Technology in Emergency Medicine
Mount Sinai Health System has achieved a significant breakthrough in emergency healthcare by developing artificial intelligence technology that can predict hospital admissions hours before traditional methods. This New York…

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Can AI Help Review the Medical Literature?

Can AI Help Review the Medical Literature?

August 12, 2025August 12, 2025Digital Health Frontier

Healthcare professionals rely heavily on their clinical experience, supplemented by what they read in the medical literature. Several developers are trying to add AI algorithms into the mix.

By John Halamka, M.D., Diercks President, Mayo…

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Mount Sinai Researchers Develop AI-Driven Surgical Education Model to Improve Quality of Resident Training

Mount Sinai Researchers Develop AI-Driven Surgical Education Model to Improve Quality of Resident Training

August 8, 2025August 8, 2025HIT Consultant

What You Should Know:

–       Mount Sinai researchers have demonstrated the effectiveness of teaching surgical trainees a difficult procedure using artificial intelligence (AI) algorithms and an extended-reality headset without the presence of an instructor. All…

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Determinants of depressive symptoms in multinational middle-aged and older adults

Determinants of depressive symptoms in multinational middle-aged and older adults

August 4, 2025August 5, 2025npj Digital Medicine

This study harnesses machine learning to dissect the complex socioeconomic determinants of depression risk among older adults across five international cohorts (HRS, ELSA, SHARE, CHARLS, MHAS). Evaluating six predictive algorithms, XGBoost demonstrated superior performance…

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Multi-domain rule-based phenotyping algorithms enable improved GWAS signal

Multi-domain rule-based phenotyping algorithms enable improved GWAS signal

August 2, 2025August 2, 2025npj Digital Medicine

Biobanks are a rich source of data for genome-wide association studies (GWAS). They store clinical data from electronic health records, with data domains such as laboratory measurements, conditions, and self-reported diagnoses. Traditionally, biobank GWAS…

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Predicting outcomes following endovascular aortoiliac revascularization using machine learning

Predicting outcomes following endovascular aortoiliac revascularization using machine learning

July 24, 2025July 24, 2025npj Digital Medicine

Endovascular aortoiliac revascularization is a common treatment option for peripheral artery disease that carries non-negligible risks. Outcome prediction tools may support clinical decision-making but remain limited. We developed machine learning algorithms that predict 30-day…

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Mount Sinai Implements Spanish AI Healthcare Tool

Mount Sinai Implements Spanish AI Healthcare Tool

July 23, 2025July 23, 2025DistilINFO Hospital IT

What is Epic’s Augmented Response Technology?
Epic’s Augmented Response Technology (ART) is a sophisticated generative AI system designed to transform patient-provider communication through MyChart messaging platforms. The Spanish-language version of this innovative tool represents the…

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Systematic review and meta-analysis of deep learning for MSI-H in colorectal cancer whole slide images

Systematic review and meta-analysis of deep learning for MSI-H in colorectal cancer whole slide images

July 19, 2025July 19, 2025npj Digital Medicine

This meta-analysis evaluated diagnostic performance of deep learning (DL) algorithms using whole slide images (WSIs) for detecting microsatellite instability-high (MSI-H) in colorectal cancer (CRC). PubMed, Embase, and Web of Science were searched until January…

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Like innovation, we see data as telling us how to respond to the future rather than only revealing what has happened in the past. The information, trends and feedback we gather from consumers and patients to clinicians and staff marks the goal post for where we want to go. If the data tells a story, we decide how we can make that story a better one.

Tony Ambrozie

Recent Posts

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    February 1, 2026February 1, 2026Comments Off on Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs
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