Accurate detection of lung cancer from Computed Tomography (CT) scans is vital for improving patient survival but remains challenging for deep learning models, which struggle with scale variations of pulmonary nodules and the complex…
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CHAI seeks to communicate with HHS leaders over recent criticisms | Healthcare IT News
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Introduction: Tensions Rise Over Healthcare AI Governance
The landscape of healthcare artificial intelligence regulation faces unprecedented scrutiny as senior White House and Health and Human Services officials publicly challenge the Coalition for Health AI’s influence…
HHS Breaks With Previous Administration
The Department of Health and Human Services has taken a decisive stance against private-sector artificial intelligence oversight, marking a significant departure from the previous administration’s approach. According to Politico, HHS…
Coalition Forms AI Tiger Team
The Coalition for Health AI (CHAI) has launched an unprecedented fast-tracked initiative to revolutionize how artificial intelligence supports Medicaid work requirements implementation. This priority “tiger team” represents a groundbreaking approach…
Preoperative assessment is a critical but time-consuming component of perioperative care, often hindered by poor guideline adherence and high documentation burdens. This study evaluates the impact of PEACH (PErioperative AI CHatbot), an LLM-based clinical…
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I’m not a superfan of The Joint Commission, but I was interested to see their press release about partnering with the Coalition for Health AI (CHAI) to create AI best practices for the…
What You Should Know:
– The Joint Commission, an independent, evidence-based healthcare standard-setting organization, and the Coalition for Health AI (CHAI), a nonprofit organization founded by clinicians, today announced a new partnership to accelerate the…
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The Joint Commission announced this week that it’s working with the Coalition for Health AI on a new collaboration to develop a set of healthcare AI best practices and promote their adoption at hospitals…
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Large Language Models (LLMs) hold promise for medical applications but often lack domain-specific expertise. Retrieval Augmented Generation (RAG) enables customization by integrating specialized knowledge. This study assessed the accuracy, consistency, and safety of LLM-RAG…
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