Calderdale and Huddersfield NHS Foundation Trust (CHFT) has achieved stage 6 validation from HIMSS for its use of data and approach to data science.The validation for HIMSS’ Adoption Model for Analytics Maturity (AMAM), which…
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Kettering General Hospital’s neurology department has rolled out telemedicine technology after waiting lists were reduced by more than 50% during a seven-week pilot.The referral triage and validation project, which ran from January to March 2024,…
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By Shania Kennedy
June 07, 2024 – Researchers from Vanderbilt University Medical Center (VUMC) have been awarded a five-year, $4.2 million grant from the National Heart, Lung, and Blood Institute, part of the National Institutes of…
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What You Should Know
– Sware has secured $6 million in Series B funding to enhance its software validation solution for life sciences companies.
– The new funding will support research and development, AI-driven capabilities, and…
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What You Should Know:
– Eko Health, a leader in AI-powered early detection of heart and lung diseases, announced today a successful Series D financing round of $41 million.
– This funding, led by ARTIS Ventures,…
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Research algorithms are seldom externally validated or integrated into clinical practice, leaving unknown challenges in deployment. In such efforts, one needs to address challenges related to data harmonization, the performance of an algorithm in…
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Epic this past week announced the availability of new software that could help hospitals and health systems assess and validate artificial intelligence models.Aimed at healthcare organizations that might otherwise lack resources to properly validate their…
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Liverpool Women’s NHS Foundation Trust has announced plans to roll out Netcall’s patient engagement portal in autumn 2024 with the aim of to giving patients greater autonomy over their healthcare journeys. Netcall’s Patient Hub, is…
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Artificial intelligence-enabled electrocardiogram (ECG) algorithms are gaining prominence for the early detection of cardiovascular (CV) conditions, including those not traditionally associated with conventional ECG measures or expert interpretation. This study develops and validates such…
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Healthcare datasets are becoming larger and more complex, necessitating the development of accurate and generalizable AI models for medical applications. Unstructured datasets, including medical imaging, electrocardiograms, and natural language data, are gaining attention with…
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