Litcius/Paper detail

Convergence of Digital Pathology and Artificial Intelligence Tools in Anatomic Pathology Practice: Current Landscape and Future Directions

Anil V. Parwani, Mahul B. Amin

2020Advances in Anatomic Pathology19 citationsDOI

Abstract

*Department of Pathology, The Ohio State University Medical Center, Columbus, OH †Department of Pathology and Laboratory Medicine, University of Tennessee Health Science Center, Memphis, TN A.V.P. serves on the advisory board for Contextvision and provides advice on deep learning and artificial intelligence applications in Anatomic Pathology. M.B.A. serves on the advisory board for Ibex and is a consultant for Advanced Clinical providing consultations for artificial intelligence applications in Anatomic Pathology for both these organizations. Reprints: Anil V. Parwani, MD, PhD, MBA, Department of Pathology, The Ohio State University Wexner Medical Center, 410 W.10th AVE, Columbus, OH 43210 (e-mail: [email protected]).

Topics & Concepts

MemphisAnatomical pathologySurgical pathologyMedical laboratoryDigital pathologyCenter (category theory)MedicinePathologyMedical physicsMedical educationBiologyChemistryBotanyCrystallographyImmunohistochemistryAI in cancer detectionAnatomy and Medical TechnologyArtificial Intelligence in Healthcare and Education
Convergence of Digital Pathology and Artificial Intelligence Tools in Anatomic Pathology Practice: Current Landscape and Future Directions | Litcius