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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: Medical Images

Philips Launches Image Management 15: Zero-Footprint Web Viewer Transforms Radiology Workflows

Philips Launches Image Management 15: Zero-Footprint Web Viewer Transforms Radiology Workflows

November 24, 2025November 25, 2025HIT Consultant

What You Should Know: 

 – Philips today announced the launch of Philips Image Management 15, the next generation of Vue PACS, featuring a zero-footprint, web diagnostic viewer that delivers the full clinical power of a…

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Microsoft Copilot+ PC Gives Healthcare Staff Seamless Access to AI Tools

Microsoft Copilot+ PC Gives Healthcare Staff Seamless Access to AI Tools

November 17, 2025November 18, 2025HealthTech Magazine

Microsoft Copilot+ PCs — Windows devices equipped with neural processing units (NPUs) — are transforming how healthcare organizations manage diagnostics, documentation and administration.With artificial intelligence (AI) running directly on the device, clinicians can process…

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A longitudinal analysis of declining medical safety messaging in generative AI models

A longitudinal analysis of declining medical safety messaging in generative AI models

October 2, 2025October 2, 2025npj Digital Medicine

Generative AI models, including large language models (LLMs) and vision-language models (VLMs), are increasingly used to interpret medical images and answer clinical questions. However, their responses often include inaccuracies; therefore, safety measures like medical…

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NeoCLIP: a self-supervised foundation model for the interpretation of neonatal radiographs

NeoCLIP: a self-supervised foundation model for the interpretation of neonatal radiographs

September 25, 2025September 25, 2025npj Digital Medicine

Deep learning has proven to be an excellent tool for interpreting medical images in adults and children. However, it is still underdeveloped for neonates. This study developed NeoCLIP, a novel deep contrastive learning model…

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Embedded framework for clinical medical image segment anything in resource limited healthcare regions

Embedded framework for clinical medical image segment anything in resource limited healthcare regions

September 24, 2025September 25, 2025npj Digital Medicine

The emergence of portable imaging devices improves medical image acquisition efficiency in resource-limited regions, but a shortage of medical personnel still limits timely diagnosis. We propose Embed-MedSAM, a fully automatic segmentation model with low…

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Large-vocabulary segmentation for medical images with text prompts

Large-vocabulary segmentation for medical images with text prompts

September 2, 2025September 2, 2025npj Digital Medicine

This paper aims to build a model that can Segment Anything in 3D medical images, driven by medical terminologies as Text prompts, termed as SAT. Our main contributions are three-fold: (i) We construct the…

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Specialized curricula for training vision language models in retinal image analysis

Specialized curricula for training vision language models in retinal image analysis

August 19, 2025August 19, 2025npj Digital Medicine

Clinicians spend significant time reviewing medical images and transcribing findings. By integrating visual and textual data, foundation models have the potential to reduce workloads and boost efficiency, yet their practical clinical value remains uncertain….

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NHS image platform fights misdiagnosis in non-white patients

NHS image platform fights misdiagnosis in non-white patients

August 8, 2025August 8, 2025Digital Health

A free image library, showing how diseases appear on different skin tones, has been launched to help prevent misdiagnosis for people with darker skin.
Many medical conditions appear differently based on skin tone, but typically…

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NICE conditionally recommends AI tech to detect spinal fractures

NICE conditionally recommends AI tech to detect spinal fractures

July 22, 2025July 22, 2025Digital Health

Four AI technologies that could help healthcare professionals spot spinal fractures in patients undergoing routine CT scans have been conditionally recommended by the National Institute for Health and Care Excellence (NICE).
NICE’s independent Diagnostics Advisory…

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Benchmarking vision-language models for diagnostics in emergency and critical care settings

Benchmarking vision-language models for diagnostics in emergency and critical care settings

July 10, 2025July 10, 2025npj Digital Medicine

The applicability of vision-language models (VLMs) for acute care in emergency and intensive care units remains underexplored. Using a multimodal dataset of diagnostic questions involving medical images and clinical context, we benchmarked several small…

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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.

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