Evaluating the Use of AI in Obstetric Diagnostics: Understanding Enhanced Capability and Inherent Risks

Richard Henderson
Senior Vice President
TransRe

Matthew Keris
Chair, Electronic Medical Record and Audit Trail Practice Group
Marshall Dennehey Warner Coleman & Goggin, P.C.

Matthew Sappern
CEO
PeriGen
- Understanding how AI is used in the world of obstetric diagnostics
- Identify the use of AI in ultrasounds
- Identifying obstetrics patient risk factors that can be mitigated by AI
- Evaluating how AI is enhancing data collection from existing diagnostics and modalities
- Identifying AI risks that can shift the practice of obstetrics
- Exploring solutions to reduce AI risks
- Interpreting data from AI algorithms: how much should a doctor rely upon AI findings as opposed to independent medical judgment
- Understanding how proposed reforms for obstetrics may shift the standard of care for obstetric patients
- Are reform efforts being factored into settlements today?
- Case Study: Assessing the use of AI in ultrasounds
- Evaluating the benefits of AI usage in ultrasounds
- Understanding the limitations and consequences of AI usage in ultrasound