Matthew G Hanna, MD is the Vice Chair of Pathology Informatics at the University of Pittsburgh Medical Center. Dr. Hanna also leads the Computational Pathology & Artificial Intelligence Center of Excellence as the Director of AI Operations. He has oversight of laboratory automation, digital pathology, clinical deployment of artificial intelligence, and the laboratory information system. Dr. Hanna is board certified by the American Board of Pathology in Anatomic and Clinical pathology, and Clinical Informatics. He has held prior appointments at Memorial Sloan Kettering Cancer Center as the Director of Digital Pathology Informatics. Dr. Hanna completed his fellowship in Oncologic Pathology at MSKCC and was a Clinical Instructor of Pathology Informatics at the University of Pittsburgh, where he completed his Pathology Informatics fellowship. He completed his residency training at The Mount Sinai Hospital in New York. The Pathologist has recognized Dr. Hanna as part of the Power List 2022. He has expertise in digital & computational pathology.
His clinical interests include breast pathology, informatics, digital pathology, image analysis, machine learning, clinical operations/implementation, and decision support tools.
Extramural Committees
Dr. Hanna serves as Secretary on the Executive Board of the Digital Pathology Association. He also actively contributes as a member of the CAP as the Vice Chair of the Artificial Intelligence Committee and member of the Informatics Committee.
Clinical Interests
Informatics
Dr. Hanna stands as a pioneering figure in the field of informatics, particularly in the realm of digital and computational pathology. Through clinical implementation, operations, and research, Dr. Hanna has been an early adopter of the integration of technology in pathology, harnessing digital platforms and computational algorithms to enhance diagnostic accuracy, streamline workflows, and optimize patient care. Dr. Hanna also serves as an Associate Editor for the Journal of Pathology Informatics. He has also spearheaded publishing white papers and original research related to: machine learning validation, digital pathology operations, telepathology, image analysis, and computational pathology.
Breast Pathology
Dr. Hanna is a practicing pathologist at Magee-Womens Hospital with a clinical focus in breast pathology. His innovative approaches have helped shape diagnostic practices using novel technologies in reviewing patient breast tissue. By leveraging computational pathology tools, Dr. Hanna has pioneered implementation and use of machine learning based decision support tools capable of assisting pathologist workflows in detecting and quantifying breast pathology and related biomarkers. These tools not only facilitate the accurate diagnosis of breast pathology specimens but also provide invaluable support for pathologists during the review process, enabling them to analyze complex data more efficiently and derive actionable insights to report patient results.
- Matthew G Hanna, Niels H Olson, Mark Zarella, Rajesh C Dash, Markus D Herrmann, Larissa V. Furtado, Michelle N Stram, Patricia M Raciti, Lewis Hassell, Alex Mays, Liron Pantanowitz, Joseph S. Sirintrapun, Savitri Krishnamurthy, Anil Parwani, Giovanni Lujan, Andrew Evans, Eric F Glassy, Marilyn M Bui, Rajendra Singh, Rhona J Souers, Monica E de Baca, Jansen N Seheult. Recommendations for Performance Evaluation of Machine Learning in Pathology: A Concept Paper From the College of American Pathologists. Archives of Pathology and Laboratory Medicine. 2023 Dec 2. doi: 10.5858/arpa.2023-0042-CP. Epub ahead of print. PMID: 38041522.
- Matthew G. Hanna, Edi Brogi. Future Practices of Breast Pathology Using Digital and Computational Pathology. Advances in Anatomic Pathology. 2023 Nov 1;30(6):421-433.
- Orly Ardon, Marc Labasin, Maria Friedlander, Allyne Manzo, Lorraine Corsale, Peter Ntiamoah, Jeninne Wright, Kojo Elenitoba-Johnson, Victor E Reuter, Meera R Hameed, Matthew G Hanna. Quality Management System in Clinical Digital Pathology Operations at a Tertiary Cancer Center. Lab Invest. 2023 Aug 31:100246.
- Matthew G Hanna, Victor Reuter, Orly Ardon, John Philip, Evangelos Stamelos, Joseph Sirintrapun, Christine England, David Klimstra, Meera Hameed. Integrating Digital Pathology Systems into Clinical Practice. Modern Pathology. 2022 Feb;35(2):152-164.
- Matthew G Hanna, Victor E Reuter, Orly Ardon, David Kim, Joseph S Sirintrapun, Peter Schüffler, Klaus J Busam, Jennifer L Sauter, Edi Brogi, Lee K Tan, Bin Xu, Tejus Bale, Narasimhan P Agaram, Laura H Tang, Lora H Ellenson, John Philip, Lorraine Corsale, Evangelos Stamelos, Maria A Friedlander, Peter Ntiamoah, Marc Labasin, Christine England, David S Klimstra, Meera Hameed. Validation of a Digital Pathology System including Remote Review During the COVID-19 Pandemic. Modern Pathology. 2020 Nov;33(11):2115-2127.
- Gabriele Campanella, Matthew G. Hanna, Luke Geneslaw, Allen Miraflor, Vitor Werneck Krauss Silva, Klaus J. Busam, Edi Brogi, Victor Reuter, David S. Klimstra, and Thomas J. Fuchs. Clinical-grade computational pathology using weakly supervised deep learning on whole slide images. Nature Medicine. 25 (8), 1301-1309.