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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: Machine Learning

Leeds Teaching Hospitals trials AI prostate cancer diagnosis tool

Leeds Teaching Hospitals trials AI prostate cancer diagnosis tool

September 20, 2024September 20, 2024Digital Health

Leeds Teaching Hospitals NHS Trust (LTHT) is piloting an AI solution, designed by Lucida Medical, to assess whether it can improve prostate cancer diagnosis.
The one-month pilot, which began in August 2024, is testing the effectiveness…

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Insights: AI and Data

Insights: AI and Data

September 20, 2024September 20, 2024Digital Health

“I’m a huge advocate of AI and machine learning,” says Monica Jones, chief data officer for the University of Leeds and associate director for HDR (Health Data Research) UK North. “It’s been on its…

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Zero shot health trajectory prediction using transformer

Zero shot health trajectory prediction using transformer

September 19, 2024September 19, 2024npj Digital Medicine

Integrating modern machine learning and clinical decision-making has great promise for mitigating healthcare’s increasing cost and complexity. We introduce the Enhanced Transformer for Health Outcome Simulation (ETHOS), a novel application of the transformer deep-learning…

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Leverage AI Technology to Drive Organizational Success

Leverage AI Technology to Drive Organizational Success

September 19, 2024September 21, 2024DistilINFO Hospital IT

Leverage AI Technology to Transform Healthcare Outcomes
Artificial intelligence (AI) and machine learning (ML) are transforming industries, particularly healthcare. As organizations adopt AI, they aim to streamline operations, improve patient outcomes, and innovate care delivery….

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Healthcare AI News 9/18/24 – HIStalk

Healthcare AI News 9/18/24 – HIStalk

September 18, 2024September 19, 2024HIStalk

News

An 18-month study by Toronto’s St. Michael’s Hospital finds that its use of the Chartwatch AI system that predicts patient deterioration was associated with a 26% drop in unexpected deaths. The system was developed…

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Healthcare AI experts confirmed as speakers for Rewired 2025

Healthcare AI experts confirmed as speakers for Rewired 2025

September 18, 2024September 18, 2024Digital Health

Three of the UK’s stand-out pioneers in applying AI, machine learning and data analytics to healthcare have been confirmed as speakers at Digital Health Rewired 2025.
Dr Dominic Pimenta, Dr Joe Zhang, and Ming Tang…

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New AI, data and analytics speakers just confirmed

New AI, data and analytics speakers just confirmed

September 17, 2024September 17, 2024Digital Health

[
]Three of the UK’s stand-out pioneers in applying artificial intelligence (AI), machine learning and data analytics to healthcare are confirmed for Digital Health Rewired 2025.Dr Joe Zhang is a medical doctor, former NHS data…

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Variational Bayes machine learning for risk adjustment of general outcome indicators with examples in urology

Variational Bayes machine learning for risk adjustment of general outcome indicators with examples in urology

September 14, 2024September 14, 2024npj Digital Medicine

Risk adjustment is often necessary for outcome quality indicators (QIs) to provide fair and accurate feedback to healthcare professionals. However, traditional risk adjustment models are generally oversimplified and not equipped to disentangle complex factors…

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The Road Ahead for Healthcare Finance Leaders: Navigating Challenges in AI Adoption & Data Quality

The Road Ahead for Healthcare Finance Leaders: Navigating Challenges in AI Adoption & Data Quality

September 11, 2024September 11, 2024HIT Consultant

Lucas Tanner, Chief Financial Officer, Carta Healthcare

The road ahead for healthcare leaders continues to be fraught with challenges. According to a recent McKinsey survey, health system executives see digital and AI transformation as crucial…

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Transatlantic transferability and replicability of machine-learning algorithms to predict mental health crises

Transatlantic transferability and replicability of machine-learning algorithms to predict mental health crises

September 9, 2024September 9, 2024npj Digital Medicine

Transferring and replicating predictive algorithms across healthcare systems constitutes a unique yet crucial challenge that needs to be addressed to enable the widespread adoption of machine learning in healthcare. In this study, we explored…

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