Artificial intelligence in healthcare: Clinical decision making algorithms, evidence-based applications, future insights, and beyond
Zhou Huang, Jinzhou Zhu · 2026
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Description
highlights the key challenges associated with clinical implementation. In practical applications, medical imaging remains the most mature domain for AI; however, significant progress has also been made in the areas of risk prediction, personalized therapy, chronic disease management, and mental health assessment.1–4 Reflecting these diverse trends, empirical evidence within this collection highlights significant breakthroughs across these domains.
Catalog record
| CREATOR | Zhou Huang, Jinzhou Zhu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 5 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |