Transforming Healthcare with AI

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.

Day 1

• 8:30 AM - 9:00 AM: Registration and Breakfast
• 9:00 AM - 10:45 AM: Welcome and Introductions/Basics of AI and Machine Learning in Healthcare
• 10:45 AM - 11:00 AM: Break
• 11:00 AM - 12:30 PM: Foundation Models, Generative AI, and Natural Language Processing (NLP) in Healthcare
• 12:30 PM - 1:30 PM: Lunch
• 1:30 PM - 3:00 PM: Integrated Approaches for Hospital Management and Process Optimization
• 3:00 PM - 3:15 PM: Break
• 3:15 PM - 4:45 PM: Bringing AI into Clinical Workflows
• 4:45 PM - 5:15 PM: Day 1 Review
• 5:15 PM - 6:15 PM: Networking Reception

Day 2

• 8:30 AM - 9:00 AM: Breakfast
• 9:00 AM - 10:30 AM: Learning with Sparse Data and Annotations: AI for Medical Imaging
• 10:30 AM - 10:45 AM: Break
• 10:45 AM - 12:15 PM: Regulatory & Data Privacy Considerations in Healthcare AI
• 12:15 PM - 1:15 PM: Lunch
• 1:15 PM - 2:45 PM: Operationalizing AI and Languages Models in Healthcare Organizations
• 2:45 PM - 3:00 PM: Break
• 3:00 PM - 4:30 PM: Impact of Data + Case study in Clinical AI
• 4:30 PM - 5:00 PM: Day 2 Review and Your Action Plan
• 5:00 PM - 5:15 PM: Certificate Ceremony

As a result of this program, participants should walk away with:

• 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