Journal of Nihon University Medical Association
Online ISSN : 1884-0779
Print ISSN : 0029-0424
ISSN-L : 0029-0424
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Artificial Intelligence in Medicine: Perspectives on Paradigm Shifts through Concepts and History
Yoshiaki Kondo
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2026 Volume 85 Issue 3 Pages 137-148

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Abstract

 The dramatic evolution of artificial intelligence (AI) is precipitating a profound transformation across the medical landscape. To navigate this shift, it is essential for healthcare professionals to appreciate the conceptual journey of AI—tracing its lineage from the 1950s visions of Alan Turing and John McCarthy to the sophisticated neural architectures of the present. This historical perspective is not merely academic; it provides the necessary context for mastering contemporary breakthroughs such as deep learning and generative AI.

 The paradigm shift sparked by the Transformer architecture has given rise to a diverse array of state-of-the-art foundation models, including GPT and Gemini, which now exist in a state of continuous, competitive refinement. With the emergence of “Agentic AI” capable of autonomous task execution and “Physical AI” poised to intervene directly in patient care through robotics, the discourse surrounding Artificial General Intelligence (AGI) and the “Singularity” has moved from the realm of speculation to serious academic inquiry.

 In practice, the implementation of AI-driven tools is accelerating across clinical care, research, education, and hospital management. From large vision-language models (LVLM) in diagnostic imaging to ambient AI scribes for clinical documentation and automated screening for clinical trials, these technologies have established an undeniable presence.

 Concurrently, the ethical, legal, and social implications (ELSI) of these advancements warrant careful attention. The “black box” nature of algorithms, the risks of hallucination, and broader ethical challenges represent critical problems that may well dictate the future trajectory of the field.

 As AI automates routine tasks, the physician's core role will inevitably be distilled into its most essential elements: decision-making, responsibility, and empathy. As these systems become integrated into the very fabric of society, we must consider the evolving relationship between the human physician and the machine. We are now taking a momentous first step into an entirely uncharted world.

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