AI in Healthcare: Applications, Impacts, and Future Directions

Abstract

Artificial intelligence (AI) is reshaping healthcare through enhanced diagnostics, personalized treatments, predictive analytics, and operational efficiencies. This comprehensive research paper (~2500 words) synthesizes core technologies, key applications, empirical evidence, challenges, and 2026- 2030 projections. Drawing from recent studies and industry reports, it highlights AI's transformative potential while addressing ethical and implementation hurdles. AI promises 20-40% improvements in diagnostic accuracy, reduced costs, and better patient outcomes, but requires robust governance for equitable deployment.