Lecture Chair: Felix Balzer (Member of the Steering Committee)
EventLectureTranslation Hubs
Online
Online Lecture: Translation Hub Digital Medicine | Leo Anthony Celi: "Ensuring Machine Learning for Healthcare Works for All"
The BIH Translation Hub Digital Medicine is happy to announce its second Online Lecture in 2021. The lectures feature discussions with leading international experts and scientists in fields such as Digital Health and Data Sciences including e.g. Data Protection and Sharing.
Abstract
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 the Speaker
Leo Anthony Celi
- 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
About the Speaker
As clinical research director and principal research scientist at the MIT Laboratory for Computational Physiology (LCP), and as a practicing intensive care unit (ICU) physician at the Beth Israel Deaconess Medical Center (BIDMC), Leo 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. In addition, Leo is one of the course directors for HST.936 – global health informatics to improve quality of care, and HST.953 – collaborative data science in medicine, both at MIT. He is an editor of the textbook for each course, both released under an open access license. "Secondary Analysis of Electronic Health Records" has been downloaded more than a million times, and has been translated to Mandarin, Spanish and Korean. He is the inaugural editor of PLOS Digital Health.
Registration
The Lecture will be held online via GoToMeeting. To participate in the Lecture, pleaseregister here. The registration will be open until maximal participant capacity is reached.
LogIn Information
Infobox
When
Thursday, 24 June 2021
4:00 – 5:00 pm
How
via GoToMeeting
A login-link or dial-in number for the phone as well as an access code for the BIH Lecture will be provided the evening before the event.
Registration
Please register here.
The registration will be open until maximal participant capacity is reached.