Artificial Intelligence (AI) is becoming a reality in medicine. However, can these deep learning tools perform the complex tasks of pathologists, and in some instances with superior accuracy? Image analysis is one of the main reasons pathology labs are thinking about investing in digital pathology, especially since precision medicine currently demands precision diagnostics.
Enough evidence has been accrued showing that image analysis offers better accuracy, standardization, automation, and enables computational pathology. However, there are still several drawbacks and barriers preventing widespread adoption such as limited interoperability, workflow disruption, poor reimbursement, no guidelines, and regulatory obstacles.
During his presentation Dr. Pantanowitz will discuss the benefits and problems related to computer aided diagnosis in pathology and will highlight what is required to deliver those awaited killer apps.
Dr. Liron Pantanowitz is currently a Professor of Pathology and of Biomedical Informatics at the University of Pittsburgh in the USA.
He is the Director of the Pathology Informatics Division and Director of the Pathology Informatics Fellowship at the University of Pittsburgh Medical Center (UPMC). In additon, he is the Director of the Cytopathology Division at UPMC Shadyside.