AI News, Digital Pathology & AI Congress: USA artificial intelligence
LabCorp and Mount Sinai Health System collaborate to establish digital and AI-enabled pathology center of excellence
Burlington, U.S. and Amsterdam, the Netherlands - LabCorp® (NYSE: LH) and the Mount Sinai Health System today announced another element in their shared goal of improving laboratory services and patient care.
“We’ve taken significant steps to enhance laboratory services across the Mount Sinai system since early 2017, and we look forward to continuing to build on those successes to advance LabCorp’s mission and our shared goal to improve health and improve lives.”
“Digital pathology gives us the unprecedented opportunity to expand our services to the community at large, and engage members of our department, considered key opinion leaders in their field, to provide expert diagnostic opinions in complex cases.
Don Scanlon, chief financial officer and chief of corporate services at Mount Sinai, added, “The Digital and AI-Enabled Pathology Center of Excellence stands to offer major operational efficiencies, extending our joint unique resources and intellectual assets more effectively to improve the lives of patients.”
Mount Sinai participated in Philips’ digital pathology performance evaluation to obtain market clearance in the U.S., gaining valuable expertise with the research version of the digital pathology system, providing the foundation for Mount Sinai’s AI diagnostic test development.
LabCorp and Mount Sinai to Create AI-Fueled Digital Pathology Center
“Digital pathology gives us the unprecedented opportunity to expand our services to the community at large, and engage members of our department, considered key opinion leaders in their field, to provide expert diagnostic opinions in complex cases,' said Carlos Cordon-Cardo, MD, PhD, chairman of the Department of Pathology, Molecular and Cell-Based Medicine at Mount Sinai Health System and professor of Pathology, Genetics and Genomic Sciences, and Oncological Sciences at the Icahn School of Medicine at Mount Sinai. 'This, in addition to our new predictive AI-based tests, introduces the potential for optimization of treatment efficacy, and provides the opportunity for improved clinical outcomes.'
- On 14. april 2021
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