This on-demand webinar explores the increasing role of artificial intelligence (AI) and machine learning (ML) in laboratory medicine, especially in laboratory testing, results reporting, and interpretation.
With the advent of superfast cloud computing, robotics, and AI techniques, it is possible to revolutionize modern laboratories through the automation of physical sample processing, and the generation and reporting of patient lab test results. We expect that AI will greatly expand the value that laboratory testing offers.
In the future, labs may provide test result interpretation services, recommend appropriate tests to be performed for a given patient, and provide support to help physicians determine the most appropriate diagnosis. Thus, the modern lab will continue to increase its importance as an integral part of the patient management process.
- Define artificial intelligence and machine learning in the context of laboratory medicine.
- Discuss the relevance of artificial intelligence and machine learning in laboratory medicine and diagnostics.
- Understand the potential value of artificial intelligence in laboratory diagnostics.
Sarah Wheeler, PhD, FACB, CC
Assistant Professor at the University of Pittsburgh, Department of Pathology, Medical Director of Clinical Chemistry at Children’s Hospital of Pittsburgh of UPMC, Medical Director of the Automated Testing Laboratory at Mercy Hospital, and Associate Medical Director of Clinical Immunopathology at UPMC.
Raj Gopalan, MD, MSIS
Chief Medical Informatics Officer and Global Head of Clinical Decision Support, Siemens Healthineers
In the rapidly evolving landscape of diagnostic testing, Siemens Healthineers recognizes the value of ongoing education for both clinicians and laboratory professionals. This webinar is part of our Clinical Experts on Demand webinar series, offering a suite of educational webinars led by industry leaders discussing how innovations in laboratory diagnostics are transforming patient care delivery.