AI in Medicine: Inclusion & Equity

John Ioannidis

C.F. Rehnborg Professor in Disease Prevention, Professor of Health Research and Policy (Epidemiology), and by courtesy, of Statistics and Biomedical Data Science, Co-Director, Meta-Research Innovation Center at Stanford; Director of the PhD program in Epidemiology and Clinical Research.

John P.A. Ioannidis, MD, DSc holds the C.F. Rehnborg Chair in Disease Prevention at Stanford University, where he is Professor of Medicine, Professor of Health Research and Policy, and Professor (by courtesy) of Biomedical Data Science at the School of Medicine, Professor (by courtesy) of Statistics at the School of Humanities and Sciences, co-Director of the Meta-Research Innovation Center at Stanford, and Director of the PhD program in Epidemiology and Clinical Research. He has delivered ~500 invited and honorary lectures and he is the recipient of many awards (e.g. European Award for Excellence in Clinical Science [2007], Medal for Distinguished Service, Teachers College, Columbia University [2015], Chanchlani Global Health Award [2017]). He has been inducted in the Association of American Physicians (2009), the European Academy of Cancer Sciences (2010), the American Epidemiological Society (2015), and the European Academy of Sciences and Arts (2015) and has served as President of the Society for Research Synthesis Methodology. He has received honorary titles from FORTH (2014) and Ioannina (2015), honorary doctorates from Erasmus U Rotterdam (2015) and U Athens (2017) and multiple honorary lectureships/visiting professorships (Caltech, Oxford, LSHTM, Yale, U Utah, UConn, UC Davis among others). The PLoS Medicine paper on “Why most published research findings are false” has been the most-accessed article in the history of Public Library of Science (with >2.5 million hits to-date) and has generated new directions for assessing scientific efficiency, reliability, and reproducibility. He is a Highly Cited Researcher according to Clarivate Analytics in both Clinical Medicine and in Social Sciences and among the 10 scientists with the highest current citation rate in the world (currently about 3,000 new citations are made to his work each month in the scientific literature according to Google Scholar). His work has been influential across multiple scientific disciplines. He has pioneered the field of meta-research, using sophisticated methods to study science itself and the way research practices can be optimized to make scientific investigation more rigorous and more efficient, diminishing biases and promoting integrity.