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 Background Dermatology patients still face barriers in accessing timely specialist care. As direct‐to‐consumer (DTC) apps for remote dermatological diagnostics proliferate, guidance is lacking. While promising efficiency and efficacy, their clinical—and ethical—legitimacy is not yet well established. Objectives We aim to provide a comprehensive ethical analysis as an approach to structuring the field and to aid ethically grounded recommendations to patients. Methods We applied a structured ethical analysis, as suggested by Marckmann, with (1) scenario description, (2) definition of normative criteria, (3) criterion‐wise assessment of all data, (4) synthesis of evaluations, and (5) practical recommendations, to systematically examine DTC dermatology apps through the lens of five bioethical/AI ethics principles: autonomy, beneficence, non‐maleficence, justice, and explicability. Results Our analysis highlights that DTC apps may be endorsed in specific, rigorously vetted cases. Key conditions include formal regulatory approval, compliance with data protection standards, and provision of medically sound, transparent, and comprehensible outputs that must never undermine the standard of care, the integrity of health systems, or the trust‐based patient–physician relationship. In scenarios such as skin cancer detection, where AI performance is particularly strong, apps leveraging suitable models hold potential for ethical justification for standardized use, given their potential to bridge care gaps, reduce unnecessary referrals and harm, provided that bias is mitigated via robust dataset inclusion of marginalized groups and ongoing performance monitoring. Conclusions We advocate a blended‐care model: apps are appropriate for monitoring and follow‐up, while initial diagnostics remain under professional oversight. As AI evolves, Human‐in‐the‐Loop systems offer a morally tenable path in areas of diagnostic uncertainty. Throughout, clinicians must remain vigilant of app limitations and inform patients of risk. Our ethical framework and recommendations aim to support the responsible augmentation of dermatologic practice with rapidly evolving DTC tools.
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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