Imagine a world where preventable medical errors and misdiagnoses are a thing of the past. Sounds ideal, right? But here's the controversial part: rejecting generative AI in healthcare won’t bring us closer to that vision—it will actually push us further away. Dr. Eric Reinhart’s thought-provoking essay (What we lose when we surrender care to algorithms, 9 November, https://www.theguardian.com/us-news/ng-interactive/2025/nov/09/healthcare-artificial-intelligence-ai) raises valid concerns about the risks of generative AI (genAI) in healthcare. While I deeply respect his perspective, I firmly believe that AI will become as indispensable in healthcare as the stethoscope, and here’s why.
Reinhart rightly highlights the dangers of introducing new technologies into a healthcare system already strained by profit motives and time constraints. However, to fairly assess genAI’s risks, we must first confront a harsh reality: our current system is failing patients in devastating ways. In the U.S. alone, 400,000 people die annually from misdiagnoses, and another 250,000 from preventable medical errors. For those with chronic conditions, care is often limited to brief check-ins every four to six months, leaving critical issues like high blood pressure, uncontrolled blood sugar, and worsening heart failure unaddressed. The result? Countless avoidable heart attacks, strokes, cancers, and kidney failures every year.
And this is the part most people miss: genAI isn’t here to replace physicians—it’s here to amplify their capabilities. Imagine a patient receiving real-time, reliable guidance to manage their condition, or a doctor alerted to early warning signs before irreversible damage occurs. Picture someone struggling with mental health finding support in the middle of the night, instead of resorting to an emergency room visit. GenAI can fill these critical gaps, acting as a safety net when clinicians are unavailable.
The future of healthcare shouldn’t be framed as an either/or choice between clinicians and AI. Instead, it’s about embracing a both/and approach. By combining the expertise of dedicated clinicians, the empowerment of informed patients, and the precision of genAI, we can create a system that’s safer, more accessible, and higher-quality than any single element could achieve alone.
Reinhart’s essay sparks important conversations, and we should continue to explore these questions. But let’s be clear: rejecting genAI isn’t protecting patients—it’s condemning them to a system that’s already failing. Here’s a thought-provoking question for you: If we know genAI has the potential to save lives, can we afford to ignore it? Let’s discuss—I’d love to hear your thoughts in the comments.
