Large language models (LLMs) with retrieval-augmented generation (RAG) have improved information extraction over previous methods, yet their reliance on embeddings often leads to inefficient retrieval. We introduce CLinical Entity Augmented Retrieval (CLEAR), a RAG…
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AVIZVA, a health-tech organization that offers a variety of solutions for healthcare enterprises, that it has appoints James Vertino as its new CEO.
Model N appoints Bret Connor as Chief Executive Officer.
The Board of…
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What You Should Know:
– Iron Health, a tech-enabled women’s health company, announced its acquisition by Metronomic, Inc., a digital health company specializing in innovative solutions for maternity care. This strategic move, finalized on December…
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Seoul-based Asan Medical Center (AMC) has been validated for Stage 7 of the new iteration of the HIMSS Infrastructure Adoption Model (INFRAM), a first among hospitals in Asia-Pacific. Revamped a year ago, the INFRAM assesses…
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Seoul-based Asan Medical Center (AMC) has been validated for Stage 7 of the new iteration of the HIMSS Infrastructure Adoption Model (INFRAM), a first among hospitals in Asia-Pacific. The new INFRAM24 assesses a healthcare organisation’s…
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Machine learning has increasingly been applied to predict opioid-related harms due to its ability to handle complex interactions and generating actionable predictions. This review evaluated the types and quality of ML methods in opioid…
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From AI-powered diagnostics to personalized medicine, we asked twenty four healthcare executives their insights on trends and technologies that will transform patient care in the coming year.
Ashley Barrow, Founder and CEO of RE-Assist
In 2025,…
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Researchers from The Chinese University of Hong Kong and Beijing Tongren Hospital have developed a foundational AI model for automated eye disease diagnosis. WHAT IT’S ABOUT
The generative AI model, VisionFM, was pre-trained on a large ophthalmic data…
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Several health systems launch the Truveta Genome Project, which will create a database of genotypic and phenotypic information. The data will be collected by using leftover biospecimens from the routine lab tests of…
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This systematic review explores machine learning (ML) applications in surgical motion analysis using non-optical motion tracking systems (NOMTS), alone or with optical methods. It investigates objectives, experimental designs, model effectiveness, and future research directions….
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