Thalassemia is an inherited blood disorder. Current diagnostic methods mainly rely on sophisticated equipment and specifically trained technicians. This study aims to identify and genotype thalassemia by applying machine learning (ML) algorithms to routine…
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The NHS Confederation and Beamtree have partnered to roll out an AI and machine learning analytics platform aimed at helping hospitals to forecast future trends.
The Evolve Collaborative is a nationwide collaborative of healthcare leaders,…
In acute ischemic stroke due to large-vessel occlusion (AIS-LVO), late-window endovascular thrombectomy (EVT) decisions depend on penumbra-to-core (P:C) mismatch from computed tomographic perfusion (CTP). We developed multiple machine learning (ML) models to predict P:C…
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The Royal Marsden NHS Foundation Trust is launching an AI radiology analysis service which runs on a clinical imaging platform to improve cancer research and patient outcomes.
The specialist cancer centre partnered with digital business…
This project represents the first systematic assessment of the US Food and Drug Administration’s postmarket surveillance of legally marketed artificial intelligence and machine learning based medical devices. We focus on the Manufacturer and User…
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Artificial intelligence (AI) models are promising tools for predicting antimicrobial susceptibility in gram-negative bloodstream infections (GN-BSI). Single-center study on hospitalized patients with GN-BSI, over 7-year period, aimed to predict resistance to fluoroquinolones (FQ-R), third…
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Transforming AI Development Infrastructure
NVIDIA has unveiled its groundbreaking DGX Cloud Lepton marketplace, transforming how artificial intelligence developers access global GPU resources. This innovative platform connects AI developers with leading cloud providers including Lambda, CoreWeave,…
Federated learning (FL) is advancing cancer research by enabling privacy-preserving collaborative training of machine learning (ML) models on diverse, multi-centre data. This systematic review synthesises current knowledge on state-of-the-art FL in oncology, focusing on…
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Breakthrough Study Shows 400% Improvement in Detection Rates
A groundbreaking multimodal AI model has revolutionized delirium detection in hospitalized patients, delivering remarkable improvements in treatment outcomes. Published in JAMA Network Open, this innovative machine learning…
The National Heart Centre Singapore is set to pilot a new AI-powered solution for rapid coronary artery disease prediction.SENSE (Singapore Heart Lesion Analyser) is a machine learning-driven system that can automatically interpret heart image scans…
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