Artificial intelligence is sweeping through healthcare, promising a new era of predictive accuracy and personalized medicine. The hype is palpable. Yet, a crucial, inconvenient truth is emerging from the front lines: simply giving these powerful AI tools to doctors doesn't automatically lead to better medicine. In fact, sometimes it doesn’t help at all.

The integration of artificial intelligence into healthcare has moved from a futuristic vision to a present-day reality. With a staggering 85% of healthcare leaders actively investing in generative AI, the technology is poised to redefine clinical efficiency and patient care (Zoho, 2025). Yet, for every advance, a critical question looms larger: can we trust the output? This is not just about preventing factual errors; it's about ensuring that AI tools are precise, reliable, and safe for high-stakes medical use.