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Stanford MED277 / CS337 AI-Assisted Health Care examines how to move technical advances into clinical settings, choose the right healthcare problems, and improve outcomes that matter. It is geared toward learners who want to use AI and machine learning for real-world human health impact.
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.
MIT OCW HST.953 focuses on practical considerations for operationalizing machine learning in healthcare settings. It is relevant for learners moving from clinical data modeling into visualization, deployment, workflow, and real-world healthcare AI implementation.
武汉大学在中国大学MOOC开设的《医学人工智能》课程围绕医学 AI 的技术与临床应用展开，涵盖计算机视觉、自然语言处理、医疗伦理法规、临床研究规范和 AI 辅助医学教学等内容，适合中文学习者系统入门医疗 AI。
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.
FutureLearn's Artificial Intelligence for Healthcare course covers AI concepts, tools, ethics, diagnostics, patient care, operational efficiency, personalized medicine, and robotic surgery. The page lists 8 weeks at 2 hours per week and introductory level.
This University of Manchester and Health Education England FutureLearn course introduces AI for healthcare professionals, including how AI could support the workforce, real-world examples in radiology, pathology, nursing, ethical issues, logistics, and financial challenges. The page lists 5 weeks at 2 hours per week.
This University of Colorado System course introduces how AI shapes modern health systems, including key applications, adoption trends, digital transformation, health equity, and opportunities for addressing grand healthcare challenges. Coursera lists it as beginner level and 8 hours.
Harvard Medical School HMX Pro online course on applying artificial intelligence in medicine.
MIT course materials for machine learning methods in healthcare and clinical data.
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.