Seminars & Events

Tuesday, November 26, 2024, 15:00-16:00
The Health AI and Data Science (HAD) Program presents
An overview of the Obstetrics & Maternal Newborn Investigations (OMNI) group’s growing AI research program
Speaker: Dr. Mark Walker, Dr. Steven Hawken, Dr. Kevin Dick and Olivier Miguel
DR. MARK C. WALKER is currently a High-Risk Obstetrician at The Ottawa Hospital and a Senior Scientist at the Ottawa Hospital Research Institute, where he co-founded the Obstetrics, Maternal and Newborn Investigations (OMNI) Research Group. He is also a Full Professor and Vice-Dean of Internationalization and Global Health at the University of Ottawa, and Scientific Director of Ontario’s Better Outcomes Registry and Network (BORN). His research interests are broad in perinatal epidemiology including clinical trials, cohort studies, health services research and applications of artificial intelligence.

DR. STEVEN HAWKEN is a Senior Scientist at the Ottawa Hospital Research Institute, Associate Professor at the University of Ottawa and Senior Adjunct Scientist at ICES. His research centers around the application of advanced statistical/AI and ML methods in the areas of newborn screening metabolomics, maternal-newborn and pediatric epidemiology and personalized health for end-of-life decision support.

DR. KEVIN DICK is an Artificial Intelligence Data Scientist at the Better Outcomes Registry and Network (BORN Ontario). He received the PhD in Biomedical Engineering from Carleton University in 2022. His research expertise is primarily in application areas requiring Machine Learning, computational methods, and high-performance computing infrastructure to provide insight into complex problems. He also has expertise in bioinformatics, the analysis of autonomous vehicle-sensed data, scientometrics, and the promotion of access to information.

OLIVIER X. MIGUEL is an Artificial Intelligence Data Scientist in the private sector. He received the MASc in Biomedical Engineering from the University of Ottawa in 2018. His research interests include Deep Learning, reinforcement-learning, 2D/3D computer vision, medical 3D printing and design. Olivier continues to play an important role in OMNI’s AI Research Program through his work as an Data Scientist/Engineer at the Ottawa Hospital Research Institute.
Location: Virtual via MS Teams. Meeting ID: 288 057 745 719 | Passcode: HDNSeG

Please contact Emma Brown at emmabrown1@ohri.ca if you would like the meeting link.

NOTE: If you would like to be added to the HAD - Health AI and Data Science team on MS Teams (including the HAD JC seminar mailing list), please join the team using code: owfh55e. If you are external to TOH/OHRI and would like to be added, please email Emma Brown at emmabrown1@ohri.ca.

Presentation overview:

  1. Overview of AI predictive modelling in perinatal research 
  2. Introduction to Deep Learning models with applications in obstetrical ultrasound 
  3. Applications of Large Language Models in creating patient-facing materials
  4. Understanding the perspectives of future care providers on AI in Medicine
  5. Discuss next steps and future AI research projects by the OMNI Research Group
Tuesday, December 10, 2024, 15:00-16:00
The Health AI and Data Science (HAD) Program presents
TBD
Speaker: TBD
Location: Virtual via MS Teams. Meeting ID: 297 179 791 88 | Passcode: HThned

Please contact Emma Brown at emmabrown1@ohri.ca if you would like the meeting link.

NOTE: If you would like to be added to the HAD - Health AI and Data Science team on MS Teams (including the HAD JC seminar mailing list), please join the team using code: owfh55e. If you are external to TOH/OHRI and would like to be added, please email Emma Brown at emmabrown1@ohri.ca.

TBD

Please note that OHRI seminars are open to all members of OHRI and partner institutions. Members of the general public are asked to contact the communications office (jganton@ohri.ca) for more information about the research presented at OHRI seminars.