Webinar
12:00 PM Eastern Time, Thursday August 21, 2025
Registrants will receive an email with a link to access the webinar after completion of registration.
Artificial Intelligence (AI) is reshaping how clinical, core-research, and industrial laboratories deliver accurate, rapid, and reproducible results.
This webinar explores practical AI applications—from decision-support algorithms that guide test ordering and interpret complex results, to computer-vision tools that accelerate image analysis, to predictive analytics that optimize inventory and prevent supply-chain disruptions. Speakers will highlight proven use cases, implementation pitfalls, and governance considerations, giving attendees a roadmap for integrating AI to boost quality, efficiency, and compliance.
Primary target audience:
Laboratory researchers, core research laboratories of universities, clinical laboratories, teachers of reproducibility, biotech companies, industry supported researchers, and funders of projects.
With thanks to our sponsors
AI integration strategies to improve quality and performance in laboratories (15 minutes)
Chelsea Treboniak (President, Critical Ops)
Decision support for test ordering, result interpretation, and data sharing (8 minutes)
Daniel Herman, MD, PhD (University of Pennsylvania)
Efficient diagnostic test ordering using artificial intelligence (8 min)
Peter Elkin, MD (University at Buffalo, State University of New York)
Transition from an AI concept to a scalable solution in health IT (8 minutes)
David Stefanich