"Ensuring Machine Learning for Healthcare Works for All"
Prof. Dr. Leo Anthony Gutierrez Celi, Associate Professor of Medicine and Principal Research Scientist, will give a lecture on the topic "Ensuring Machine Learning for Healthcare Works for All" on June 24th, 2021. The event is organized by the BIH Translation Hub Digital Medicine with Prof. Dr. med. Dr. rer. nat. Felix Balzer as lecture chair and will be held online via GoToMeeting. The lecture is in English.
The gaps in the medical knowledge system stem from the systematic exclusion of the majority of the world’s population from health research. These gaps combined with implicit and explicit biases lead to suboptimal medical decision making which negatively impact health outcomes for everyone, but especially those in groups typically under-represented in health research. Recent developments in machine learning and AI technologies hold some promise to address the issues with the generation of scientific evidence and human decision making. They also, however, have spurred concerns about their potential to maintain if not exacerbate these problems. These concerns must be aggressively addressed by adopting necessary structural reforms to ensure that the field is both equitable and ethical by design.
About Leo Celi:
Leo is clinical research director and principal research scientist at the MIT Laboratory for Computational Physiology (LCP), and practicing intensive care unit (ICU) physician at the Beth Israel Deaconess Medical Center (BIDMC). He brings together clinicians and data scientists to support research using data routinely collected in the process of care. His group built and maintains the publicly-available Medical Information Mart for Intensive Care (MIMIC) database and the Philips-MIT eICU Collaborative Research Database, with more than 20,000 users from around the world. Leo is also involved in education, is an editor of textbooks (released under an open access license) and the inaugural editor of PLOS Digital Health.
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology
- Department of Medicine, Beth Israel Deaconess Medical Center
- Department of Biostatistics, Harvard T.H. Chan School of Public Health
The Lecture will be held online via GoToMeeting. To participate in the Lecture, please register in advance. The registration will be open until maximal participant capacity is reached.
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