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Tuesday, February 03, 2026
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: AI Group

The reliability of remote photoplethysmography under low illumination and elevated heart rates

The reliability of remote photoplethysmography under low illumination and elevated heart rates

December 3, 2025December 4, 2025npj Digital Medicine

Remote photoplethysmography (rPPG) offers a non-invasive means of estimating heart rate in telemedicine settings. Yet its reliability remains uncertain due to the limited diversity and ecological validity of existing benchmark datasets. In this work,…

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Exploring Age-Related Patterns in Smartphone Keystroke Dynamics Considering Temporal Variability: Cross-Sectional Study With AI-Based Analysis

Exploring Age-Related Patterns in Smartphone Keystroke Dynamics Considering Temporal Variability: Cross-Sectional Study With AI-Based Analysis

December 3, 2025December 3, 2025JMIR mHealth and uHealth

Background: Keystroke dynamics on smartphones have emerged as a promising form of passive digital biomarker. While previous studies have explored their utility in several diseases and disorders, relatively few have examined how these dynamics…

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Mount Sinai Deploys AI-Enhanced Fetal Ultrasounds, Achieves Near-Perfect Detection Rates for Congenital Heart Defects

Mount Sinai Deploys AI-Enhanced Fetal Ultrasounds, Achieves Near-Perfect Detection Rates for Congenital Heart Defects

December 2, 2025December 3, 2025HIT Consultant

What You Should Know:

– Mount Sinai-affiliated doctors in New York City have become the first in the region to integrate a validated AI software tool, BrightHeart, into large-scale clinical practice to enhance fetal ultrasounds. 

–…

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Aidoc Partners with NVIDIA MONAI to Scale Open-Source Clinical AI

Aidoc Partners with NVIDIA MONAI to Scale Open-Source Clinical AI

December 2, 2025December 3, 2025HIT Consultant

What You Should Know: 

– Aidoc, a leader in clinical AI, has expanded its aiOS™ (AI Operating System) through a collaboration with NVIDIA MONAI and a new partnership with Quibim to solve the “last mile”…

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Garbage In, Fatal Out: The Direct Risk of Unclean Data in AI-Driven Healthcare

Garbage In, Fatal Out: The Direct Risk of Unclean Data in AI-Driven Healthcare

December 1, 2025December 2, 2025HIT Consultant

Derek Plansky, SVP Governance and Solutions, Health Gorilla

The healthcare industry has suffered from notorious data-quality issues for decades. 

Poor, incomplete data can result in missed opportunities to improve patients’ health and improper treatments, while robust…

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Avandra Health Acquires DatCard and Sorna to Build the Leading Medical Imaging Data Platform

Avandra Health Acquires DatCard and Sorna to Build the Leading Medical Imaging Data Platform

December 1, 2025December 2, 2025HIT Consultant

Avandra

What You Should Know: 

– Avandra Health, the world’s largest federated network for medical imaging and clinical data, today announced the acquisition of DatCard Systems and Sorna Corporation. This strategic move is set to establish…

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Philips Expands Light-Based Navigation and Introduces Full AI Spectral CT and Helium-Free 3.0T MRI

Philips Expands Light-Based Navigation and Introduces Full AI Spectral CT and Helium-Free 3.0T MRI

December 1, 2025December 2, 2025HIT Consultant

What You Should Know: 

– Philips announced a triple suite of major innovations at RSNA 2025, reinforcing its commitment to safety, precision, and sustainability in diagnostic imaging and image-guided therapy. 

– The announcements include the wider…

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One in four UK patients using AI and social media for health info

One in four UK patients using AI and social media for health info

November 28, 2025November 28, 2025Digital Health

The Medicines and Healthcare products Regulatory Agency (MHRA) has advised that AI chatbots should not replace advice from healthcare professionals after research found one in four UK patients are turning to AI and social…

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A multi-criterion feature integration framework for accurate diagnosis of Sjögren’s disease using routine laboratory tests

A multi-criterion feature integration framework for accurate diagnosis of Sjögren’s disease using routine laboratory tests

November 28, 2025November 28, 2025npj Digital Medicine

Sjögren’s disease (SjD) is a common systemic autoimmune disease that remains difficult to diagnose early due to non-specific symptoms and lack of definitive biomarkers. This multicentre retrospective cohort study analysed data from 34,958 patients…

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AI testing platform removes commercial bias for NHS use

AI testing platform removes commercial bias for NHS use

November 27, 2025November 27, 2025Digital Health

Professor Alicja Rudnicka from the School of Health and Medical Sciences at City St Georges, University of London (Credit: Professor Alicja Rudnicka, City St George’s, University of London)

Researchers have developed a testing platform…

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You have to understand what are they worried about, what are their fears, what are they trying to do? If we don’t engage with them that way, it doesn’t matter what technology we use.

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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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  • Embedding clinical intelligence to help close care gaps

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