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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: Datasets

Foundation versus domain-specific models for left ventricular segmentation on cardiac ultrasound

Foundation versus domain-specific models for left ventricular segmentation on cardiac ultrasound

June 6, 2025June 6, 2025npj Digital Medicine

The Segment Anything Model (SAM) was fine-tuned on the EchoNet-Dynamic dataset and evaluated on external transthoracic echocardiography (TTE) and Point-of-Care Ultrasound (POCUS) datasets from CAMUS (University Hospital of St Etienne) and Mayo Clinic (99…

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Newcastle Hospitals to create data platform for medical research

Newcastle Hospitals to create data platform for medical research

June 6, 2025June 6, 2025Digital Health

Newcastle upon Tyne Hospitals NHS Foundation Trust has selected two firms to help transform its dataset to improve medical research and innovation.
The trust’s dataset, which covers patient care, treatment outcomes and service delivery, is…

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Comparative analysis of natural language processing methodologies for classifying computed tomography enterography reports in Crohn’s disease patients

Comparative analysis of natural language processing methodologies for classifying computed tomography enterography reports in Crohn’s disease patients

May 30, 2025May 30, 2025npj Digital Medicine

Imaging is crucial to assess disease extent, activity, and outcomes in inflammatory bowel disease (IBD). Artificial intelligence (AI) image interpretation requires automated exploitation of studies at scale as an initial step. Here we evaluate…

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A scoping review of artificial intelligence as a medical device for ophthalmic image analysis in Europe, Australia and America

A scoping review of artificial intelligence as a medical device for ophthalmic image analysis in Europe, Australia and America

May 30, 2025May 30, 2025npj Digital Medicine

This scoping review aims to identify regulator-approved ophthalmic image analysis artificial intelligence as a medical device (AIaMD) in three jurisdictions, examine their characteristics and regulatory approvals, and evaluate the available evidence underpinning them, as…

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John Snow Labs Acquires WiseCube to Bolster AI-Powered Biomedical Knowledge and Drug Discovery

John Snow Labs Acquires WiseCube to Bolster AI-Powered Biomedical Knowledge and Drug Discovery

May 27, 2025May 27, 2025HIT Consultant

What You Should Know: 

– John Snow Labs, the AI for healthcare company announced its acquisition of WiseCube, a pioneer in biomedical knowledge graphs and AI-powered literature analysis. Financial details of the acquisition were not…

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Enhanced staging of renal cell carcinoma using tumor morphology features: model development and multi-source validation

Enhanced staging of renal cell carcinoma using tumor morphology features: model development and multi-source validation

May 24, 2025May 24, 2025npj Digital Medicine

Preoperative detection of pT3a invasion in non-metastatic renal cell carcinoma (RCC) remains challenging with CT. This study developed and validated radiomic models using preoperative CT to identify pT3a invasions. Six models were trained and…

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AI models need to be built on more complete and global datasets

AI models need to be built on more complete and global datasets

May 23, 2025May 23, 2025Healthcare IT news

As artificial intelligence begins to transform healthcare, a big question often is overlooked: Are hospitals, health systems and IT vendors training AI on the right data?Many AI models rely heavily on data from U.S….

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Deep Gaussian process with uncertainty estimation for microsatellite instability and immunotherapy response prediction from histology

Deep Gaussian process with uncertainty estimation for microsatellite instability and immunotherapy response prediction from histology

May 19, 2025May 19, 2025npj Digital Medicine

Determining tumor microsatellite status has significant clinical value because tumors that are microsatellite instability-high (MSI-H) or mismatch repair deficient (dMMR) respond well to immune checkpoint inhibitors (ICIs) and oftentimes not to chemotherapeutics. We propose…

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Telstra Health onboards Salesforce, Snowflake and more briefs

Telstra Health onboards Salesforce, Snowflake and more briefs

May 19, 2025May 19, 2025MobiHealthNews

Telstra Health taps Salesforce, Snowflake for its ongoing modernisationCloud software providers Salesforce and Snowflake will integrate their solutions into Telstra Health’s upcoming digital health platform.
Based on a media release, Snowflake will provide a common…

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The DRAGON benchmark for clinical NLP

The DRAGON benchmark for clinical NLP

May 17, 2025May 17, 2025npj Digital Medicine

Artificial Intelligence can mitigate the global shortage of medical diagnostic personnel but requires large-scale annotated datasets to train clinical algorithms. Natural Language Processing (NLP), including Large Language Models (LLMs), shows great potential for annotating…

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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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    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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    January 31, 2026January 31, 2026Comments Off on Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial
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