Korean ARPA-H to build AI-driven surgery assistant robot The Ministry of Health and Welfare (MOHW) in South Korea and the Korea Health Industry Development Institute (KHIDI) announced three additional projects under the Korean Advanced Research…
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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…
We are an interdisciplinary team of researchers that are working to advance algorithmic fairness in the research of opioid use disorders. We discuss challenges that our research team faced when engaging with our Advisory…
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Shares of Scotland-based Craneware jump on reports that Bain Capital is considering acquiring the company.
Bain Capital confirmed that Bain Capital Funds is assessing a possible offer, but it has not involved Craneware’s board.
The…
Coleen Kirnan, the Owner and Host of Tuscan Women Cook, the culinary immersion vacation in the Tuscan village of Montefollonico in Italy joins eHealth Radio and the Health News and Nutrition Channels.
Listen to interview…
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Deep learning techniques have significantly enhanced the convenience and precision of ultrasound image diagnosis, particularly in the crucial step of lesion segmentation. However, recent studies reveal that both train-from-scratch models and pre-trained models often…
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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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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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