Artificial Intelligence (AI) has emerged as a powerful adjunct in modern medicine, capable of analyzing vast datasets, identifying patterns, and supporting clinical decision-making in real time. However, it is essential to underscore that thinking itself is a skill, and competence stems from trained, reflective judgment rather than blind reliance on algorithms. Teaching critical and holistic thinking in medical education remains as important as ever.

While AI possesses speed and computational rigor, it often interprets information in a binary, context-limited manner. Real-world clinical practice is rarely black-and-white. Patients present with socio-cultural, psychological, and economic realities that are not easily quantified. Moreover, medicine incorporates experiential intuition—what clinicians term their “sixth sense”—built upon tacit knowledge, empathy, and continuous human interaction. AI, with its lack of emotional sensitivity and contextual adaptability, cannot replicate this dimension of care.

Errors of over-dependence on AI can be fast and grave. The machine lacks accountability, appreciation of nuance, and, critically, compassion. Therefore, it is imperative that AI remains a tool, not the master. Physicians must cultivate clarity in thinking, weigh all factors—including psychosocial determinants—and recognize AI as only one input among many. The One Health approach provides a better direction: integrating human, animal, and environmental health in a holistic framework, rather than an “AI-only” approach that risks reductionism.

Thus, the path forward is not to reject AI, but to embed it thoughtfully into healthcare by ensuring doctors retain primacy in judgment. AI should augment human capacity without replacing the human qualities of empathy, ethical responsibility, and holistic judgment. Medical teaching must emphasize higher-order thinking, communication, and integrated approaches, supported by but not subjugated to AI systems.