Research Summary: AI in healthcare is revolutionizing patient care through machine learning diagnostics, predictive analytics, and personalized treatment plans. Key applications include medical imaging analysis, drug discovery acceleration, and clinical decision support systems. Recent studies show 89% accuracy improvement in early disease detection...
"What are the main challenges with AI adoption in hospitals?"
Based on the research, the main challenges include data privacy concerns, integration with existing systems, staff training requirements, and regulatory compliance. Healthcare institutions also face significant upfront costs...