Healthcare industries constantly strive to improve patient care, and advancements in technology are pivotal to achieving this goal. Developments in artificial intelligence (AI), machine learning (ML), deep learning (DL), and generative AI (GenAI) have delivered an increasingly effective toolkit for making accurate predictions, enhancing diagnosis, personalizing treatments, and understanding disease progression.

This intensive two-day program, offered by the MIT Sloan School of Management in collaboration with the MIT Jameel Clinic, will introduce you to the transformative potential of artificial intelligence technologies and techniques in healthcare. The course covers foundational AI knowledge, explores practical applications across patient care, diagnostics, and hospital management, and considers key ethical, regulatory, and operational challenges in the healthcare sector. You will gain actionable insights into deploying AI today to improve healthcare outcomes, enhance efficiency, and manage risks effectively. You will also come together with peers to share insights, collaborate on challenges, and develop actionable strategies for leveraging AI in your organizations.

By the end of this course, participants will have a solid foundation in AI and machine learning principles, practical knowledge of AI applications in healthcare, and the ability to recognize ethical and regulatory challenges. They will develop confidence in leveraging AI to improve healthcare outcomes, optimize processes, and develop strategic AI initiatives within their organizations.

Please note, if you have already taken the Artificial Intelligence in Health Care self-paced online course, there may be some overlap in content.

• A solid foundational understanding of AI technologies, including ML, DL and GenAI, as well as key elements of data analytics
• Insights into specific healthcare applications for AI, such as diagnostics, patient monitoring, and hospital management
• Practical approaches to address interpretability, ethical challenges, and regulatory concerns
• A toolkit and mindset to develop and integrate a sustainable AI strategy that aligns with healthcare operational goals

We accept enrollments until the offering reaches capacity at which point, we will maintain a waitlist. Many of the courses fill up several weeks in advance, so we advise that you enroll as early as possible to secure your seat.