의료기기 이야기

식품의약품안전처에서 의료기기 개발을 위한 우수 기계학습 (Machine Learning) 기준: 지도 원칙 민원인안내서를 제정하였다. ▶ 지도원칙 (Guiding Principles)1. 의료기기의 사용목적을 명확히 이해하고, 제품의 전체생명 주기 동안 다학제적 전문성을 활용한다.2. 전체생명주기에 걸쳐 우수한 소프트웨어 엔지니어링, 의료기기 설계 및 보안 원칙을 적용한다.3. 임상평가시, 의도된 환자 집단을 대표할 수 있는 데이터셋을 포함한다.4. 훈련 데이터와 시험 데이터는 독립적으로 설정한다.5. 사용목적에 부합하는 참조 표준을 선택한다.6. 사용 가능한 데이터와 의료기기의 사용목적에 맞게 모델을 선택하고 설계한다.7. 의료기기는 단순히 기기 단독의 성능이 아니라 의도된 사용 환경에서 인간-AI 협..

The FDA encourages the development of innovative, safe, and effective medical devices, including devices that incorporate Artificial Intelligence and Machine Learning (AI/ML).  The AI/ML-Enabled Medical Device List is a resource intended to identify AI/ML-enabled medical devices that are authorized for marketing in the United States (updated).  Artificial Intelligence and Machine Learning (AI/ML..

The US Food and Drug Administration (FDA), Health Canada and UK MHRA (June 13) built on their 2021 guiding principles for good machine learning practice for medical device development by further identifying guiding principles for transparency for machine learning-enabled medical devices (MLMDs). As the healthcare sector continues to experience rapid proliferation of artificial intelligence (AI) ..

As artificial intelligence continues to evolve, we are seeing revolutionary opportunities to enhance health care, especially through machine learning. AI can be applied across the spectrum of health applications, including for the prevention, diagnosis, and treatment of a variety of medical conditions, as well as for a range of administrative tasks. Health products, including those that are medi..

Artificial Intelligence and Medical Products: How CBER, CDER, CDRH, and OCP are Working Together The U.S. Food and Drug Administration (FDA) issued "Artificial Intelligence and Medical Products: How CBER, CDER, CDRH, and OCP are Working Together," which outlines the agency's commitment and cross-center collaboration to protect public health while fostering responsible and ethical medical product..