Rising Cybersecurity Threats in Healthcare
Healthcare organizations face mounting cybersecurity challenges daily. The sector has become a prime target for cyberattacks, with hospital systems reporting record numbers of data breaches and ransomware incidents in recent…
Helen Thomas, chief executive at Digital Health and Care Wales (Image provided by DHCW)
Serious concern has been raised by the Welsh government about the ability of Digital Health and Care Wales (DHCW) to…
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A consortium led by South Korea’s top universities, Yonsei University and Seoul National University, will embark on a national project promoting the early detection of autism spectrum disorder in the country.Backed by the National…
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Suppliers have quizzed NHS England about the relationship between the proposed single patient record (SPR) and the federated data platform (FDP).
Plans for an SPR which would connect NHS and social care data were announced…
Telstra Health taps Salesforce, Snowflake for its ongoing modernisationCloud software providers Salesforce and Snowflake will integrate their solutions into Telstra Health’s upcoming digital health platform.
Based on a media release, Snowflake will provide a common…
Sepsis is a dysregulated host response to infection with high mortality and morbidity. Early detection and intervention have been shown to improve patient outcomes, but existing computational models relying on structured electronic health record…
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Federated learning (FL) enables collaborative analysis of decentralized medical data while preserving patient privacy. However, the covariate shift from demographic and clinical differences can reduce model generalizability. We propose FedWeight, a novel FL framework…
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Detailed social determinants of health (SDoH) is often buried within clinical text in EHRs. Most current NLP efforts for SDoH have limitations, investigating limited factors, deriving data from a single institution, using specific patient…
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In treating malignant cerebral edema after a large middle cerebral artery stroke, clinicians need quantitative tools for real-time risk assessment. Existing predictive models typically estimate risk at one, early time point, failing to account…
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Artificial Intelligence can mitigate the global shortage of medical diagnostic personnel but requires large-scale annotated datasets to train clinical algorithms. Natural Language Processing (NLP), including Large Language Models (LLMs), shows great potential for annotating…
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