HMP Global November 11, 2025
Key Clinical Summary
- Scope: Review of English-language literature (2000–2024) on artificial intelligence (AI) integration across US and global health care settings.
- Core finding: AI can enhance diagnostics, surgery, research, and clinical decision-making—but raises medical liability, cybersecurity, and health equity concerns.
- Action items: Prioritize transparency about algorithm training, strengthen digital policies and safeguards, and diversify datasets to improve generalizability.
A comprehensive narrative review of publications from SCOPUS, PubMed, and Google Scholar (2000–2024) evaluates the feasibility of deploying machine learning and deep learning tools in health care. The analysis details opportunities in large-scale data analysis, imaging, surgical robotics, and decision support, while warning that liability ambiguity, cyber risk, and entrenched disparities could undermine safe adoption in the United States and...
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