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…
“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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What You Should Know:
– GE HealthCare announced significant enhancements to its Venue ultrasound systems, including the launch of Venue Sprint, a solution that sets a new standard for point-of-care ultrasound (POCUS).
– Venue Sprint is…
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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 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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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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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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]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…
We aimed to identify and characterise behavioural profiles in patients at high risk of SCD, by using deep representation learning of day-to-day behavioural recordings. We present a pipeline that employed unsupervised clustering on low-dimensional…
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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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