CAMBRIDGE, MA, USA -- HEALTHCARE UPDATE NEWS SERVICE -- MARCH 4, 2025: 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.
COURSE FACULTY
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Regina Barzilay, PhD
School of Engineering Distinguished Professor for AI and Health AI Faculty Lead, Jameel Clinic, MIT Computer Science and Artificial Intelligence Laboratory |

Dimitris Bertsimas, PhD
Boeing Leaders for Global Operations Professor of Management; Professor, Operations Research; Vice Provost for Open Learning, Sloan School of Management |

Elazer Edelman, MD, PhD
Edward J. Poitras Professor in Medical Engineering and Science, MIT Institute for Medical Engineering and Science (IMES)
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Paul McDonagh-Smith
Visiting Senior Lecturer in Information Technology, Sloan School of Management |

Lecia Sequist, MD, PPH
Medical Oncologist, Mass General Hospital |

Collin Stultz, MD, PhD
Professor of Electrical Engineering and Computer Science, MIT Institute for Medical Engineering and Science (IMES)
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