Through the collaboration, thousands of pathology specimens will be digitally captured to create millions of slide images across several disease areas. They will then link this data to clinical and molecular data to build a dataset that can be used to conduct research and further develop and improve PathAI’s algorithms.
The partnership will also provide educational opportunities for faculty and trainees of Cleveland Clinic, to encourage the development and use of AI in pathology diagnostics with the end goal of improving patient care.
“Our commitment is to provide the best possible care for our patients, and it is increasingly clear that AI-powered pathology can radically enhance diagnostic accuracy and treatment selection,” said Brian Rubin, MD, PhD, chair of Pathology and Laboratory Medicine Institute at Cleveland Clinic. “By doing this work, we’re able to maximize the value of machine learning for our patients and fuel deeper innovation that can result in better outcomes.”
As a result of the collaboration, Cleveland Clinic will become an equity holder in PathAI.
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