| 11am-12:25pm ET | WELCOME
Dr. Laura Biven, Lead, Integrated Infrastructure and Emerging Technologies, NIH ODSS
NIH OFFICE OF DATA SCIENCE STRATEGY OVERVIEW
Dr. Susan Gregurick, Associate Director for Data Science, NIH; Director, ODSS
Download Slides ODSS AI ACTIVITIES OVERVIEW & FUTURE VISION
Ms. Christine Cutillo, Health Data Scientist for AI Ethics, NIH ODSS
Download Slides BEGINNING OF THE MEETING POLL
The poll explored various, relevant topics at the forefront of NIH AI
Ms. Christine Cutillo, Health Data Scientist for AI Ethics, NIH ODSS |
| 12:25-1:25pm ET | BREAKOUT SESSION 1
During this breakout session, participants from the FY22 NOT-OD-22-065 and NOT-OD-22-067 programs gave 10-minute lightning presentations that discussed the motivation, achievements, best practices, lessons learned, and future plans of their awarded AI projects. TRACK A
Dr. Alex Federman (Moderator), Professor of Medicine, Icahn School of Medicine at Mount Sinai, Dr. Jalayne Arias, Associate Professor, Georgia State University
A Qualitative Examination of Patients’ and Clinicians’ Perspectives on AI-driven Automated Screening for Cognitive Impairment
Download Slides Dr. Andrew Schaefer, Professor, Rice University
Implementation of a Public Data Challenge for MRI-Guided Tumor Segmentation in Head and Neck Cancer Patients
Download Slides Dr. Lu Tang, Professor, Texas A&M University; Dr. Jinsil Hwaryoung Seo, Associate Professor, Texas A&M University; Dr. Sophia Fantus, Assistant Professor, University of Texas at Arlington
Improving AI Alzheimer Researchers’ Knowledge, Attitudes and Practices of AI Ethics
Download Slides Dr. James V. Lacey Jr., Professor, City of Hope
Strategies for Improving the Readiness of Large-scale Cohort Data for AI/ML
Download Slides TRACK B
Dr. Kyung Sung (Moderator), Associate Professor, University of California, Los Angeles
Detection and Localization of Prostate Cancer: A Structured Multi-Scale Multiparametric MRI Database for AI/ML Research
Download Slides Mr. Trenton Chang, Ph.D. Candidate, University of Michigan
Measuring and Mitigating the Impact of Biases in Laboratory Testing on Machine Learning Models
Download Slides Dr. Levi Waldron, Professor, City University of New York; Dr. Sehyun Oh, Assistant Professor, City University of New York
Improving FAIRness and AI/ML readiness of Bioconductor data resources
Download Slides Dr. Maya Sabatello, Associate Professor of Medical Sciences, Columbia University
Blind/Disability and Intersectional Biases in E-Health Records (EHRs) of Diabetes Patients
Dr. Cathy Wu, Professor and Director, Data Science Institute, University of Delaware
UniProt Knowledgebase to Enable AI/ML Readiness and Applications
Download Slides |
| 1:25-1:35pm ET | BREAK |
| 1:35-2:35pm ET | BREAKOUT SESSION 2
During this breakout session, participants from the FY22 NOT-OD-22-065 and NOT-OD-22-067 programs gave 10-minute lightning presentations that discussed the motivation, achievements, best practices, lessons learned, and future plans of their awarded AI projects.
TRACK A
Dr. Bankole Olatosi (Moderator), Associate Professor, University of South Carolina
Framing the Ethical-Framework Guided Metric Tool – Lessons Learned
Download Slides Dr. Shivakeshvan Ratnadurai Giridharan, Instructor, Burke Neurological Institute
Development of Deep Learning-based Kinematic Data Acquisition
Download Slides Dr. Amber Simpson, Associate Professor/Canada Research Chair, Queen's University; Ms. Rohan Faiyaz Khan, PhD Student, Queen's University
Ethical Development of Colorectal Cancer Imaging Biomarkers
Download Slides Dr. Rebecca McNeil, Senior Research Statistician, RTI International
Enabling AI/ML Readiness and Modernization of Longitudinal Pregnancy and Cardiovascular Health Data: Lessons Learned
Download Slides TRACK B
Dr. Jennifer Wagner (Moderator), Assistant Professor of Law, Policy, and Engineering and Anthropology, Penn State University
A Synopsis of the PREMIERE Ethics Supplement
Download Slides Dr. Alex Wagner, Principal Investigator, Nationwide Children’s Hospital
Application of Genomic Knowledge Standards to the Genome Aggregation Database
Download Slides Dr. Jessica Sperling, Director, Office of Evaluation and Applied Research Partnership, Duke University; Dr. Whitney Welsh, Research Scientist, Duke University
Machine Learning and The Ethics of Use: Patient and Provider Perspectives on Utilizing Prediction Models in Medical Care
Download Slides Dr. Benjamin Vincent, Associate Professor of Medicine, University of North Carolina at Chapel Hill
ASTOR: Alliance Standardized Translational ‘Omics Resourcse
Download Slides |
| 2:35-2:45pm ET | BREAK |
| 2:45-3:45pm ET | BREAKOUT SESSION 3
During this breakout session, participants from the FY22 NOT-OD-22-065 and NOT-OD-22-067 programs gave 10-minute lightning presentations that discussed the motivation, achievements, best practices, lessons learned, and future plans of their awarded AI projects.
TRACK A
Dr. Abhinav Jha (Moderator), Assistant Professor, Washington University
Uncertainty Quantification of AI-Based Imaging Algorithms: The Need and Methods
Download Slides Dr. Sriram Neelamegham, Professor/PI, University at Buffalo, State University of New York; Dr. Rudiyanto Gunawan, Associate Professor, State University of New York - Buffalo
Systems Biology of Glycosylation: Extending Mechanistic Analysis Toward AI
Download Slides Dr. Josiah Couch, Postdoctoral Research Fellow, Beth Israel Deaconess Medical Center
Beyond Class Balance: Dataset Diversity and Model Performance in Deep-Learning Classification Tasks
Download Slides Dr. Alexey Terskikh, Associate Professor, Sanford Burnham Prebys Medical Discovery Institute
ImAge Quantitates Ageing and Rejuvenation
TRACK B
Dr. Qing Zeng-Treitler (Moderator), Director, Biomedical Informatics Center, George Washington University
Shedding Light on the Black Box: Using Explainable AI to Enhance Clinical Research
Download Slides Dr. Ranjan Ramachandra, Research & Development Engineer, University of California San Diego
Development of Software for the Optimization and Normalization of 3D Electron Microscopic Data Acquisition to Facilitate Use and Reuse of AI/ML-Based Image Analysis Tools
Download Slides Dr. Joan Casey, Assistant Professor of Environmental and Occupational Health Sciences, University of Washington School of Public Health; Dr. Danielle Braun, Principal Research Scientist, Harvard T.H. Chan School of Public Health
Approaches for AI/ML Readiness for Wildfire Exposures
Download Slides Dr. Amit Majumdar, Division Director, Associate Professor, University of California San Diego
Implementation of Provenance Metadata on Neuroscience Gateway – A Platform for Neuroscience Software Dissemination
Download Slides Dr. Samantha Krening, Assistant Professor, The Ohio State University
An Automated AI/ML Platform for Multi-Researcher Collaborations for a NIH BACPAC Funded Spine Phenome Project |
| 3:45-3:55pm ET | BREAK |
| 3:55-4:55pm ET | BREAKOUT SESSION 4
During this breakout session, participants from the FY22 NOT-OD-22-065 and NOT-OD-22-067 programs gave 10-minute lightning presentations that discussed the motivation, achievements, best practices, lessons learned, and future plans of their awarded AI projects. Participants from the FY23 NOT-OD-23-082 program gave 10-minute lightning presentations on their project motivation, plan, and expected outcome
TRACK A
Dr. Danton Char (Moderator), Associate Professor, Stanford Medicine
Development of a Method for Identifying Ethical Considerations Arising from Healthcare AI Deployments
Download Slides Dr. Jaehee Kim, Assistant Professor, Cornell University
Towards AI/ML-Enabled Molecular Epidemiology of Mycobacterium Tuberculosis
Dr. Jodyn Platt, Associate Professor, University of Michigan
Attitudes of Cancer Patients About the Use of AI in Clinical Care: A Nationwide Survey
Download Slides Dr. Katherine Yates, Rheumatology Fellow, University of North Carolina at Chapel Hill
Development of an AI/ML-Ready Knee Ultrasound Dataset in a Population-Based Cohort
Download Slides Dr. Yann Le Guen, Senior Biostatistician, Stanford University
PREcision Care In Cardiac ArrEst - ICECAP (PRECICECAP)
Download Slides TRACK B
Dr. Clifton Fuller (Moderator), Professor, UT MD Anderson Cancer Center
Leveraging MRI applications for FAIR and Open (Re)Use
Download Slides Dr. Alaa Youssef, Post-Doctoral Scholar, Stanford University School of Medicine
Ethical Considerations in the Design and Conduct Clinical Trials of AI: A Qualitative Study of Investigators' Experiences with Autonomous AI for Diabetic Retinopathy
Download Slides Dr. Bofan Song, Associate Research Professor, University of Arizona
Improving AI/ML-Readiness of Data Generated from NIH-Funded Research on Oral Cancer Screening
Download Slides Dr. Bobbie-Jo Webb-Robertson, Division Director, Biological Sciences, Pacific Northwest National Laboratory
Generating AI/ML-Ready Data for Type 1 Diabetes
Download Slides Dr. Diana Vera Cruz, Bioinformatician, University of Chicago; Dr. Romuald Girard, Assistant Professor, University of Chicago
Optimizing Diagnostic and Prognostic Biomarkers of CASH using Machine Learning
Download Slides |
| 4:55-5pm ET | CLOSE
Ms. Christine Cutillo, Health Data Scientist for AI Ethics, NIH ODSS |
