De-identified NHS data from 57 million people in England is being used to train a generative AI model capable of predicting future health outcomes.
The model, called Foresight, is being tested by researchers at University…
An AI-powered lung cancer screening analysis software by South Korean company Coreline Soft has been added to the medical AI platform of global pharmaceutical firm Bayer. Its flagship product, AVIEW LCS, is now among the selections of…
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AI-driven heart scans which cut the need for invasive tests have saved millions of pounds, according to an analysis.
The Heartflow technology, which has been rolled out across 56 hospitals in England since 2021,…
The rapid proliferation of healthcare service applications (apps) makes it challenging for consumers to determine the best one for their needs, prompting the Korean government to introduce an accreditation program to verify app safety….
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The integration of patient-reported outcomes (PROs) in digital health (DH) trials for cardiovascular diseases (CVDs) remains unknown. We searched ClinicalTrials.gov for randomized trials that tested DH interventions in CVDs from 2004 to 2024. The…
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The growth in digitization of health data provides opportunities for using algorithmic techniques for data analysis. This systematic review assesses whether quantum machine learning (QML) algorithms outperform existing classical methods for clinical decisioning or…
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Lack of integration between the NHS App and other health data sources has contributed to patient record errors, according to a new report.
An analysis by Healthwatch, published on 1 May 2025, found that 23%…
Unlike their more modern large language model counterparts, artificial neural networks require human input to learn and function.ANNs have been around since the 1950s. They started taking hold in healthcare in the 1990s. Within…
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A research project from the University of Exeter is using AI and machine learning to personalise stroke care for patients in a bid to reduce future disability.
Stroke is a leading cause of death and…
Cardiotocography (CTG) is essential for monitoring high-risk pregnancies, yet perinatal asphyxia prediction accuracy remains limited to 50–55%. Regions of artifacts (missing valid signals)-including signal processing aberrations-possibly contribute to this limitation, highlighted by 40% of…
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