인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Abstract Artificial intelligence (AI) is based on complex artificial neural networks, characterized by layered network architecture, parallel processing of large data sets and iterative algorithms for processing large data sets. AI-assisted screening studies have demonstrated non-inferior diagnostic performance, reduced human workload by up to 70%, and reduced recall rates by 25% compared to human double reading. Natural language models promise high accuracy in advising on breast cancer prevention (80%), guiding tumor boards for personalized treatment decisions (50–70%), and planning oncoplastic or radiotherapy treatment for standard cases (72%), but AI sometimes produces errors and fails in complex cases. The main technical advantage of AI is that it can perform routine tasks faster and with fewer errors than humans. This is relevant for scheduling, summarizing reports, recording services for billing and quality assurance. The main concerns in healthcare are the quality of training data, the stability of AI systems, cybersecurity, liability and transparency. Currently, human experts still outperform AI in most areas. AI self-correcting algorithms and the alignment of AI constructed goals with human ethics are imperative to prevent patient harm. The ability of AI to uncover hidden patterns in multi-omics, immune regulation and tumor defense, as well as to develop new drugs, will advance the integrative fight against breast cancer.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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