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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: Medicine

UpDoc to develop conversational, assistant-directed AI providers

UpDoc to develop conversational, assistant-directed AI providers

January 8, 2024January 9, 2024Healthcare IT news

All care delivered through UpDoc’s artificial intelligence-based remote patient providers would be prescribed by physicians or clinical pharmacists who oversee the platform, the company said in an announcement on Friday.WHY IT MATTERS
UpDoc’s remote patient…

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UK funding agency launches digital health hubs: a new catalyst for change?

UK funding agency launches digital health hubs: a new catalyst for change?

January 6, 2024January 6, 2024npj Digital Medicine

…

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Artificial intelligence-enabled ECG for left ventricular diastolic function and filling pressure

Artificial intelligence-enabled ECG for left ventricular diastolic function and filling pressure

January 6, 2024January 6, 2024npj Digital Medicine

Assessment of left ventricular diastolic function plays a major role in the diagnosis and prognosis of cardiac diseases, including heart failure with preserved ejection fraction. We aimed to develop an artificial intelligence (AI)-enabled electrocardiogram…

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5 Healthcare Trends that Will Shape 2024 - MedCity News

5 Healthcare Trends that Will Shape 2024 – MedCity News

January 5, 2024January 6, 2024MedCity News

The healthcare industry is undergoing a significant shift involving patient care delivery, struggling with nursing shortages, and adapting to technological changes that are redefining the entire field of medicine. As we look into the…

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Machine learning-based clinical decision support system for treatment recommendation and overall survival prediction of hepatocellular carcinoma: a multi-center study

Machine learning-based clinical decision support system for treatment recommendation and overall survival prediction of hepatocellular carcinoma: a multi-center study

January 5, 2024January 6, 2024npj Digital Medicine

The treatment decisions for patients with hepatocellular carcinoma are determined by a wide range of factors, and there is a significant difference between the recommendations of widely used staging systems and the actual initial…

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An interpretable model based on graph learning for diagnosis of Parkinson’s disease with voice-related EEG

An interpretable model based on graph learning for diagnosis of Parkinson’s disease with voice-related EEG

January 5, 2024January 6, 2024npj Digital Medicine

Parkinson’s disease (PD) exhibits significant clinical heterogeneity, presenting challenges in the identification of reliable electroencephalogram (EEG) biomarkers. Machine learning techniques have been integrated with resting-state EEG for PD diagnosis, but their practicality is constrained…

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Penn Medicine’s iStar | Revolutionizing Oncology with Advanced AI Imaging Tool

Penn Medicine’s iStar | Revolutionizing Oncology with Advanced AI Imaging Tool

January 5, 2024January 5, 2024DistilINFO Hospital IT

Penn Medicine’s iStar emerges as a game-changing AI tool, developed by Perelman School of Medicine experts. This revolutionary application, short for Inferring Super-Resolution Tissue Architecture, presents a paradigm shift in oncology diagnostics. iStar delves…

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Penn Medicine develops AI tool for precision oncology

Penn Medicine develops AI tool for precision oncology

January 4, 2024January 5, 2024Healthcare IT news

The application, known as iStar, was created by Perelman School of Medicine researchers to give clinicians more insights into gene activities in medical images and, potentially, help them diagnose cancers that might have otherwise…

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Mission Bio Appoints Brian Kim as CEO to Spearhead Single-Cell Genomic Solutions

Mission Bio Appoints Brian Kim as CEO to Spearhead Single-Cell Genomic Solutions

January 4, 2024January 5, 2024HIT Consultant

Brian Kim, CEO at Mission Bio

What You Should Know:

– Mission Bio, a pioneer in single-cell multiomic solutions for precision medicine, announced today the appointment of Brian Kim as its new Chief Executive Officer.

–…

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Women Used Telehealth to Stock up on Abortion Drugs Post-Dobbs Leak

Women Used Telehealth to Stock up on Abortion Drugs Post-Dobbs Leak

January 3, 2024January 4, 2024mHealth Intelligence

By Anuja Vaidya

January 03, 2024 – Advance ordering of abortion medications via telehealth peaked after the leak of the Supreme Court ruling against the constitutional right to abortion, new research shows.

Published in JAMA Internal Medicine,…

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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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