搜索医学 AI 论文与资源

Stanford AI in Healthcare Leadership and Strategy is a four-week hybrid program for healthcare leaders. It covers AI strategy, governance, model performance and safety, clinical and operational value, implementation, change management, and responsible scaling of AI solutions in healthcare.

MIT OCW 6.S897 Machine Learning for Healthcare introduces clinical data and machine learning for risk stratification, disease progression modeling, precision medicine, diagnosis, subtype discovery, medical imaging, public health, and clinical workflow improvement.

This Microsoft Learn module helps healthcare professionals adopt Microsoft AI solutions. It covers goals and challenges in life sciences, pharmacology, and healthcare; opportunities for AI; healthcare provider use cases; and business value from AI in patient recovery and health operations.

Harvard Medical School's AI in Clinical Medicine is an online live course for clinicians and allied health professionals. It covers practical AI skills, real-world case studies, clinical integration challenges, ethical considerations, bias, decision-making, and AI regulation.

The Broad Institute ML4H Clinical AI Seminar Series features talks from leading experts at the intersection of AI and medicine. Topics include generative and foundation models, ethical and responsible AI, self-supervised learning, medical imaging, digital twins, and real-world clinical applications.

Stanford AIMI Grand Rounds seminar series on artificial intelligence in medicine and imaging.

Harvard Medical School HMX Pro online course on applying artificial intelligence in medicine.

RSNA certificate program for radiology professionals applying AI in medical imaging practice.

Stanford Center for Artificial Intelligence in Medicine and Imaging course page covering AIMI short courses and programs.

DeepLearning.AI specialization on diagnosis, prognosis, and treatment using medical AI workflows.