두경부암 다학제 의사결정에서의 인공지능 적용

• 영문명: Application of Artificial Intelligence in Multidisciplinary Decision-Making for Head and Neck Cancer
• 발행기관: 대한두경부종양학회
• 저자명: 이영찬(Young Chan Lee)
• 간행물 정보: 『대한두경부종양학회지』제41권 제2호, 1~6쪽, 전체 6쪽
• 주제분류: 의약학 > 종양학
• 파일형태: PDF
• 발행일자: 2025.11.30

국문 초록

Given the complex nature of head and neck cancers, multidisciplinary team (MDT) management has become increasingly important in contemporary oncologic care. However, MDT implementation often faces practical limitations due to time constraints, limited resources, and coordination challenges among specialists. To address these issues, there is a growing need for innovative decision-support tools. Recent advances in artificial intelligence (AI), particularly large language models (LLMs), have introduced new opportunities to enhance clinical decision- making. This review explores the current applications of AI technologies in oncologic treatment decision processes, with a focus on their potential integration into MDT-based decision-making for head and neck cancer. Furthermore, we introduce recent studies applying multi-agent LLM frameworks to MDT systems and discuss key challenges that must be addressed for successful clinical adoption. Ultimately, this review envisions an AI-augmented MDT model that enhances decision-making efficiency and objectivity, while enabling clinicians to focus more deeply on their core role—delivering optimal patient-centered cancer care.

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Artificial intelligence Decision-making model Head and neck cancer Large language model Multidisciplinary team