Use of Artificial Intelligence/Machine Learning to Develop Personalized Approaches to Improve Reproductive Health Outcomes

Thursday, October 21, 2021
10:00 am – 5:20 pm (EST)

$50 registration fee

Link will be sent to registrants to attend. You will not be able to access this meeting via the ASRM On-Demand Congress website.

Needs Assessment and Description

Despite significant advances in live birth success rates using various forms of ART over the past few decades, further improvements may require the integration and mining of large datasets acquired through omics technologies to generate predictive algorithms. The purpose of this meeting is to present the current state of knowledge relative to the application of artificial
intelligence (AI)/machine learning (ML) and precision medicine approaches to the practice of medicine with the goal of informing attendees on how to use AI/ML to develop personalized approaches to improve outcomes of infertile couples. While there is some activity which demonstrates the potential usefulness of AI/ML approaches to improve IVF success, greater emphasis is needed to apply and integrate AI and precision medicine to develop more effective strategies for improving outcomes of all patients seeking fertility treatments. The meeting sessions will focus on the use of AI/ML in other medical fields, AI/ML approaches to improve IVF outcomes, and 3) AI/ML, precision medicine and the future of reproductive medical practice. The sessions will be complemented by Keynote and Special Lectures.

Learning Objectives

At the end of this session, the audience members should be able to:
1. Discuss the current state of knowledge relative to artificial intelligence (AI), machine learning (ML), and precision medicine.
2. Recognize of how AI and ML complement precision medicine when developing approaches to infertility and assessing IVF outcomes.
3. Consider how AI/ML and precision medicine can impact the future of reproductive medical practice.

10:00 am – Welcome

Dr. Louis DePaolo (DER, Eunice Kennedy Shriver NICHD, NIH)
Dr. Alan DeCherney (DIR, Eunice Kennedy Shriver NICHD, NIH)
Dr. Chevis Shannon (ASRM)

Session I  – Use of AI/ML in Other Fields

10:10 am Moderator – Alison Cernich, Eunice Kennedy Shriver NICHD, NIH
10:20 am Deep Neural Networks for Population Genetics and Evolutionary Biology
Sara Mathieson, Haverford College
10:50 am Artificial Intelligence in Interventional and Diagnostic Radiology: Opportunities and Pitfalls from the Frontline
Ferdinand Hui, University of Hawaii
11:20 am Panel Discussion
11:40 am Keynote Address
Emotions, Social Robots, and a New Human-Robot Relationship
Cynthia Breazeal, Massachusetts Institute of Technology
12:30 pm Break


Session II – AI/ML and Precision Medicine: The Future of Medical Practice

1:00 pm Moderator – Susan Gregurik, Office of the Director, NIH
1:10 pm Artificial Intelligence: Bridging Phenome to Genome
Stephanie Seminara, Massachusetts General Hospital
1:40 pm Improving Fertility Treatment Access and Outcomes Using AI/ML Prognostics at Point-of-Care and in R&D
Mylene Yao, UNIVFY
2:10 pm Ethical and Legal Considerations and Dilemmas Raised by AI in Health Care and Reproductive Health
Sarah Gerke, Penn State Dickinson Law
2:40 pm Panel Discussion
3:00 pm Break


Session III – AI/ML to Improve ART Outcomes

3:20 pm Moderator – David Albertini, Bedford Research Foundation
3:30 pm The Promise and Future Opportunity of AI/ML for Gamete Selection
Catherine Racowsky, Foch Hospital, Suresnes, France
4:00 pm AI; An Automated Tool for Non-Invasive Embryo Selection
Marcos Meseguer, IVFRMI Valencia, Spain
4:30 pm Three Ways of Knowing: The Integration of Clinical Expertise, Evidence-Based Medicine, and Artificial Intelligence in Assisted Reproductive Technologies
Gerard Letterie, Seattle Reproductive Medicine
5:00 pm Panel Discussion
5:20 pm Adjourn