個人化処方における人工知能：約束、危険、実用性の解説的レビュー

抄録

The integration of artificial intelligence (AI), particularly large language models (LLMs), into clinical prescription practices represents a transformative shift in healthcare, promising to offer enhanced therapeutic precision, reduced errors, and personalized care. However, rapid adoption is outpacing validation and governance. This narrative review critically examines the benefits, risks, and implementation challenges of AI in pharmacology, with an emphasis on prescribing use cases, highlight