Artificial intelligence is fueling a health revolution, transforming diagnostics, treatments, and cures amid strained global systems burdened by aging populations, rising costs, chronic diseases, and workforce shortages. Machine learning, like a sharpening detective, learns via supervised labeling (e.g., tumor-spotting X-rays) and unsupervised data mining to reveal subtle patterns humans miss. In diagnostics, it cuts breast cancer false negatives by 10%, lifts early detection sensitivity to 91% (vs. radiologists' 74%), and forecasts appendicitis surgeries with 84% accuracy for quicker ER decisions. AI revolutionizes drug discovery by screening 10^60 potential molecules in days, not decades, designing new compounds, and targeting genetics to curb expenses and failures. Personalized care tailors treatments using genetics, histories, and wearables for precise plans, robotic surgeries, and ongoing monitoring via smart devices or chatbots. Success hinges on a trust-based human-AI alliance ensuring equity, privacy, accountability, and explainable algorithms that augment, not replace, clinicians' empathy and insight. AI is no longer sci-fi—it's here, ready to equitably heal if responsibly harnessed.