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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: chest x-rays

University Hospitals of Leicester evaluates safety of AI software

University Hospitals of Leicester evaluates safety of AI software

October 14, 2025October 14, 2025Digital Health

Dr Indrajeet Das, consultant radiologist at University Hospitals of Leicester NHS Trust (Credit: UHL)

University Hospitals of Leicester NHS Trust is evaluating the safety and effectiveness of using AI software across different patient groups.
Specialist…

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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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Re-identification of patients from imaging features extracted by foundation models

Re-identification of patients from imaging features extracted by foundation models

July 22, 2025July 22, 2025npj Digital Medicine

Foundation models for medical imaging are a prominent research topic, but risks associated with the imaging features they can capture have not been explored. We aimed to assess whether imaging features from foundation models…

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X-ray2CTPA: leveraging diffusion models to enhance pulmonary embolism classification

X-ray2CTPA: leveraging diffusion models to enhance pulmonary embolism classification

July 14, 2025July 15, 2025npj Digital Medicine

Chest X-rays or chest radiography (CXR), commonly used for medical diagnostics, typically enables limited imaging compared to computed tomography (CT) scans, which offer more detailed and accurate three-dimensional data, particularly contrast-enhanced scans like CT…

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Population-scale cross-sectional observational study for AI-powered TB screening on one million CXRs

Population-scale cross-sectional observational study for AI-powered TB screening on one million CXRs

July 9, 2025July 9, 2025npj Digital Medicine

Traditional tuberculosis (TB) screening involves radiologists manually reviewing chest X-rays (CXR), which is time-consuming, error-prone, and limited by workforce shortages. Our AI model, AIRIS-TB (AI Radiology In Screening TB), aims to address these challenges…

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AI chest X-ray software rolled out at Leeds Teaching Hospitals

AI chest X-ray software rolled out at Leeds Teaching Hospitals

May 30, 2025May 30, 2025Digital Health

Clinicians using Annalise.ai software (Credit: Leeds Teaching Hospitals NHS Trust)

Leeds Teaching Hospitals NHS Trust (LTHT) has deployed Annalise.ai’s AI chest X-ray solution to speed up diagnosis and improve patient care.
More than 135,000 chest…

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University Hospitals Cleveland Taps AI For Early Lung Cancer Detection

University Hospitals Cleveland Taps AI For Early Lung Cancer Detection

April 2, 2025HIT Consultant

What You Should Know:

–   University Hospitals Cleveland Medical Center (UH) has announced a groundbreaking collaboration with global healthcare Artificial Intelligence (AI) innovator Qure.ai to deploy chest X-ray AI supporting earlier identification of lung cancers. 

–  The…

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Harrison.ai obtains $20 million from Australia's reconstruction fund

Harrison.ai obtains $20 million from Australia’s reconstruction fund

February 10, 2025February 10, 2025MobiHealthNews

Harrison.ai has received A$32 million ($20 million) in equity investment from the Australian federal government’s National Reconstruction Fund Corporation.WHAT IT’S FOR
The multi-million dollar investment, which forms part of Harrison.ai’s Series C funding round, will…

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London cancer alliance integrates AI for faster chest X-ray results

London cancer alliance integrates AI for faster chest X-ray results

November 6, 2024November 6, 2024Digital Health

North East London Cancer Alliance is leading a project to integrate AI into cancer diagnostic pathways, with the aim of reducing the wait time for chest X-ray results for scans with significant findings from…

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AI-Powered Chest X-rays Enhance Rapid Lung Nodule Detection

AI-Powered Chest X-rays Enhance Rapid Lung Nodule Detection

September 19, 2024September 20, 2024DistilINFO Hospital IT

AI-Powered Chest X-rays Enhance Rapid Lung Cancer Diagnosis
Artificial intelligence (AI) continues to transform healthcare, with new innovations enhancing diagnostic capabilities. A recent study presented at the 2024 World Conference on Lung Cancer by the…

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