PeopleofSuperintelligence

Researcher

Matthew G. Hanna

Also known as Matthew Hanna

Matthew Hanna is a pathologist and pathology informaticist who brings digital pathology and artificial intelligence into routine clinical practice. He trained at The Mount Sinai Hospital in New York, the University of Pittsburgh and Memorial Sloan Kettering Cancer Center, and by 2020 was Director of Digital Pathology Informatics at Memorial Sloan Kettering. There he coauthored the 2019 paper "Clinical-grade computational pathology using weakly supervised deep learning on whole slide images" and was first author of a 2020 Modern Pathology study that validated remote digital sign-out. The Pathologist put him on its Power List in 2022, the first edition of his book with Meera Hameed, Digital Pathology: Implementation in Clinical Practice with AI Applications, appeared in November 2024, and the College of American Pathologists gave him its 2025 Pathology Advancement Award. He is Vice Chair of Pathology Informatics at UPMC, Director of AI Operations for its Computational Pathology & Artificial Intelligence Center of Excellence, and chair of the CAP AI Committee.

Now at
University of Pittsburgh, Sorbonne University, UPMC Health System, College of American Pathologists and Digital Pathology Association

Timeline

  1. 2019

    Clinical-grade computational pathology

    In 2019, he coauthors "Clinical-grade computational pathology using weakly supervised deep learning on whole slide images" with Gabriele Campanella and others at Memorial Sloan Kettering. The multiple instance learning system trains on reported diagnoses alone, is tested on 44,732 whole slide images from 15,187 patients, and reaches areas under the curve above 0.98 for prostate cancer, basal cell carcinoma and breast cancer metastases to axillary lymph nodes.

  2. By 2020

    Director of digital pathology informatics

    By 2020, he is Director of Digital Pathology Informatics and an Assistant Attending of Breast Pathology and Informatics at Memorial Sloan Kettering Cancer Center. His training spans a residency at The Mount Sinai Hospital in New York, a pathology informatics fellowship and a Clinical Instructor post at the University of Pittsburgh, and an oncologic pathology fellowship at Memorial Sloan Kettering.

  3. 2020

    Validating remote digital sign-out

    In 2020, he is first author of a Modern Pathology study that validates remote digital sign-out at Memorial Sloan Kettering during the COVID-19 pandemic. Twelve pathologists from nine surgical pathology subspecialties review 108 cases and 1,196 slides remotely, and major diagnostic equivalency between digital and glass slide diagnoses is 100%.

  4. 2022

    The Pathologist Power List

    The Pathologist names him to its Power List 2022. His white papers and original research cover machine learning validation, digital pathology operations, telepathology, image analysis and computational pathology.

  5. November 2024

    Digital pathology implementation book

    The first edition of Digital Pathology: Implementation in Clinical Practice with AI Applications, by Meera Hameed and him, appears in November 2024. The book gives guidance and tools for digital pathology in a clinical laboratory, from hardware, software and staffing to clinical validation and AI-mediated decision support.

  6. 2025

    CAP Pathology Advancement Award

    The College of American Pathologists presents him with its 2025 Pathology Advancement Award for leadership in advancing pathology through digital innovation. As vice chair of pathology informatics at UPMC and senior director of AI Operations at its Computational Pathology and Artificial Intelligence Center of Excellence, he oversees digital pathology, clinical deployment of AI, laboratory automation and the laboratory information system.

  7. As of October 2026

    Vice chair of pathology informatics

    As of October 2026, he is Vice Chair of Pathology Informatics and Associate Professor of Pathology at UPMC and the University of Pittsburgh, and Director of AI Operations for the Computational Pathology & Artificial Intelligence Center of Excellence. He chairs the CAP AI Committee and is President-Elect of the Digital Pathology Association. In June 2026, he is among the presenters of a SIIM annual meeting session on operationalizing AI in pathology with Ibrahim Abukhiran, Liron Pantanowitz and Hooman Rashidi.

Career

  1. NowUniversity of PittsburghFellow
  2. NowSorbonne UniversityVice Chair of Pathology Informatics
  3. NowUPMC Health SystemDirector of AI Operations
  4. NowCollege of American PathologistsChair
  5. NowDigital Pathology AssociationPresident-Elect
  6. The Mount Sinai HospitalResident
  7. Memorial Sloan Kettering Cancer CenterFellow

From the biography.

  1. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Sorbonne University. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  2. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Sorbonne University. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  3. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes University of Pittsburgh. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  4. Google has the highest combined h-index among AI organizationsIncludes Sorbonne University. We estimate that Google holds the highest combined h-index at 8,016, while universities account for 73% of the deduplicated total across AI organizations.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. Clinical-grade computational pathology using weakly supervised deep learning on whole slide images - PMC pmc.ncbi.nlm.nih.gov. Checked 21 October 2026.
  2. Panel discussion on the use of digital pathology for remote diagnosis | Hamamatsu Photonics nanozoomer.hamamatsu.com. Checked 21 October 2026.
  3. Matthew Hanna, MD | Department of Pathology path.pitt.edu. Checked 21 October 2026.
  4. Validation of a digital pathology system including remote review during the COVID-19 pandemic - PMC pmc.ncbi.nlm.nih.gov. Checked 21 October 2026.
  5. Digital Pathology - 1st Edition | Elsevier Shop shop.elsevier.com. Checked 21 October 2026.
  6. 2025 CAP Pathology Advancement Award - CAP cap.org. Checked 21 October 2026.
  7. PV Speakers digitalpathologyassociation.org. Checked 21 October 2026.
  8. Matthew Hanna, MD – SIIM Annual Meeting annualmeeting.siim.org. Checked 21 October 2026.