Seoul National University Hospital has recently unveiled a clinical decision support system for precision medicine treatment.WHY IT MATTERS
The SNUH POLARIS (Precision Oncology and Rare-Common Disease Supporter) is said to be the first of its…
Phenotypic information for cancer research is embedded in unstructured electronic health records (EHR), requiring effort to extract. Deep learning models can automate this but face scalability issues due to privacy concerns. We evaluated techniques…
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Large language models (LLMs) are used to seek health information. Guidelines for evidence-based health communication require the presentation of the best available evidence to support informed decision-making. We investigate the prompt-dependent guideline compliance of…
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ChatEHR, AI software developed at Stanford Medicine, is speeding up chart reviews by permitting clinicians to ask questions about medical records.Similar to how you can chat with a large language model like GPT-4, Stanford Health…
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For the 168th episode of the Healthcare IT Today Podcast, we are talking about CMS' request for input on technology to improve medicine! We kick this episode off by sharing our thoughts on CMS's…
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Physicians, nurses and other clinicians at Stanford Health Care are now able to interact directly with electronic health records, via a new software tool known as ChatEHR.WHY IT MATTERSThe tool, built by data scientists…
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Revolutionary FDA Approval Marks Medical Milestone
Startup Clairity has achieved a groundbreaking milestone in healthcare technology, securing FDA approval for the agency’s first artificial intelligence tool specifically designed to predict five-year breast cancer risk from…
The National Institutes of Health (NIH) is actively seeking comprehensive industry feedback on developing its groundbreaking artificial intelligence strategy, marking a pivotal moment in healthcare technology advancement. This strategic initiative represents the federal government’s…
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Challenges exist with the adoption of Fast Healthcare Interoperability Resources (FHIR) within analytics, including the difficulty in transforming complex data structures, and performance issues when querying large datasets in their native JSON or XML…
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Subscribe to The Pulse by Wharton Digital Health on Apple, Spotify, Substack, or Twitter for more conversations with the leaders reshaping health tech.Obesity and weight loss are among the most significant and complex challenges…
