Presence Showcases 2019 Seed Grant Awardees for AI in Medicine: Inclusion & Equity
The Presence Center’s AI in Medicine: Inclusion & Equity Initiative (AiMIE) has just announced its seed grant awardees for 2019. The program’s goal is to “explore solutions, frameworks, and concepts to address the challenges raised at the symposium relating to the use of artificial intelligence, machine learning and associated technologies, processes, and policies to address inclusion and equity in medicine and healthcare.” Eight grants were awarded on June 20 at the Center for Advanced Study in the Behavioral Sciences. Funding for the grants and conference were made possible by the Robert Wood Johnson Foundation’s Pioneer Grants Portfolio.
Explore the Projects
Intimate AI: The Impact of Machine Carers on Home Care (Not Pictured)
Team: Margaret Levi, Director, CASBS; Federica Carugati, Program Director, CASBS; Andrew Elder, Professor, University of Edinburgh; Peter Loewen, Professor, University of Toronto; Dominique Lestel, Professor of Philosophy, Ecole Normale Supérieure de Paris; John Markoff, New York Times; Sonoo Thadaney, executive director, Stanford Presence Center.
Scholars/Schools/Centers: Political Science, Medicine, Philosophy, Business, Classics, Journalist
Promoting Breast Health Awareness in Underserved Communities: Can Haptic-AI Technology Help?
Team: Carla M. Pugh, Professor of Surgery, Stanford University; Hossein Mohamadipanah, Senior Research Engineer, Stanford University; Su Yang, Research Engineer, Stanford University.
Scholars/Schools/Centers: Surgery, Medicine
Evidence-Based (Global) Medicine: Evaluating International Data Infrastructure for Healthcare Delivery in Developing Countries
Team: Tina Hernandez-Boussard, Associate Professor of Medicine, Biomedical Data Science, and Surgery, Stanford University; Eli Cahan, MS in Health Policy Candidate/MD Candidate, Center for Health Research and Policy at Stanford University/NYU School of Medicine.
Scholars/Schools/Centers: Stanford BMIR; Stanford PHS; Wadhwani AI; NYU Department of Bioethics.
Demographic Biases in Machine Learning Algorithms Using Electronic Health Record Data: A Systematic Review
Team: Tina Hernandez-Boussard, Professor, Biomedical Informatics, Biomedical Data Science, Surgery
Stanford University; John Ioannidis, Professor, Health Research & Policy; Martin Seneviratne, Graduate student, Biomedical Informatics; Stelios Serghiou, Graduate student, Epidemiology & Clinical Research
Scholars/Schools/Centers: Medicine, Bioinformatics, Public Health, Statistics, Epidemiology
The ‘Empulse’ App To Fund Homelessness Organizations
Team: Dr. Drea Burbank, CEO, H4A todreamalife; Dr. Nima Aghaeepour, Assistant Professor, Bioinformatics; Ayo Roberts, Biodesign Innovation Fellow Alumni, Stanford Byers Center for Biodesign
Scholars/Schools/Centers: Medicine, Mechanical Engineering, Brain and Cognitive Sciences, Medical Anthropology, Public Health, Bioinformatics
Team: Rob Reich, Professor, Faculty Director of the Center for Ethics in Society, Human-Centered AI Initiative core faculty, Stanford University; Morgan Currie, Lecturer in Data and Society, Science, Technology and Innovation Studies, University of Edinburgh; Jessica Feldman, Professor, American University of Paris; Johannes Himmelreich, Ethics and Society Postdoctoral Fellow; Fay Niker, Ethics and Society Postdoctoral Fellow
Scholars/Schools/Centers: Political Science, Ethics
A Bayesian Decision Network Approach to Address Inequity in the Neonatal Intensive Care Units in California
Team: Dr. Anoop Rao, Dr. Tavpritesh Sethi, Prof. Vinod Bhutani
Scholars/Schools/Centers: Pediatrics - Neonatal and Developmental Medicine, Philosophy, Biotechnology
Machine Learning for Making Fair and Equitable Predictive Models
Team: Nigam H. Shah, Professor, BMIR; Adrien Coulet, Professor, Université de Lorraine,; Stephen R. Pfohl, Stanford Center for Biomedical Informatics Research
Scholars/Schools/Centers: Medicine, Bioinformatics, Biomedical Data Sciences