Artificial Intelligence (AI) is reshaping the healthcare industry by improving diagnostic accuracy, accelerating research, and enhancing patient care. Machine learning models are capable of analyzing medical images, detecting anomalies, and predicting disease progression with increasing precision.

AI-powered systems assist radiologists in identifying tumors, fractures, and internal abnormalities. Predictive analytics help hospitals manage patient admissions and resource allocation. Additionally, AI contributes to drug discovery by analyzing chemical compounds and identifying promising candidates faster than traditional methods.

However, ethical and regulatory concerns remain significant. Data privacy, algorithmic bias, and accountability must be addressed to ensure safe implementation. While AI cannot replace medical professionals, it serves as a powerful support tool that enhances clinical decision-making.

The integration of AI into healthcare represents a shift toward more efficient, data-driven, and personalized medicine.