Matthew G. Hanna

Memorial Sloan Kettering Cancer Center — United States

Computer Science · Physical Sciences

31h-index35.5kcitations126works29.42yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

AI in cancer detection(68), Radiomics and Machine Learning in Medical Imaging(32), Cell Image Analysis Techniques(19), Cancer Genomics and Diagnostics(13), Artificial Intelligence in Healthcare and Education(13)

Publications124 total

Stratifying Errors in Anthropic’s Chatbot Claude–Simplified Pathology Reports
Archives of Pathology & Laboratory Medicine·2025Open Access
Identification of a Cardiac Myxoma on a Breast MRI
JACC Case Reports·2025Open Access
Digital Pathology and Artificial Intelligence in Breast Pathology
Surgical pathology clinics·2025
Assessment of the efficacy and accuracy of cervical cytology screening with the Hologic Genius Digital Diagnostics System
Cancer Cytopathology·2025· 4 citedOpen Access
Digital slide scanning at scale: Comparison of whole slide imaging devices in a clinical setting
Journal of Pathology Informatics·2025· 5 citedOpen Access
D-95 | Outcomes of Brachytherapy Comparing Coronary Bypass Grafts vs Native Vessels
Journal of the Society for Cardiovascular Angiography & Interventions·2025Open Access
576 Predicting Histologic Grade, T-Stage, and Risk Stratification Group of Gastrointestinal Stromal Tumors (GISTs) Using Digitally Quantified Tumor Cellular Density (TCD) from Limited Tissue Samples
Laboratory Investigation·2025Open Access
1387 Leveraging AI to Automate Classification of Pathology Reports: Enhancing Clinicians' Workflow and Prioritizing Patient Care
Laboratory Investigation·2025Open Access
467 Impact of Antibody Clone and Chromogen Changes on the Quantification of CD8-Positive Tumor-Infiltrating Lymphocytes in Melanoma: A Quantitative Imaging Analysis Study
Laboratory Investigation·2025Open Access
1341 Comparison of Tumor-Infiltrating Lymphocyte Quantification Using AI-Based H&E Analysis Versus CD8 Immunohistochemistry Across Multiple Tumor Types
Laboratory Investigation·2025Open Access
Diagnostic performance of the hologic genius digital diagnostics system for low-grade squamous intraepithelial lesion (LSIL) ThinPrep papanicolaou tests
Journal of the American Society of Cytopathology·2025· 6 cited
Future of Artificial Intelligence—Machine Learning Trends in Pathology and Medicine
Modern Pathology·2025· 104 cited
Ethical and Bias Considerations in Artificial Intelligence/Machine Learning
Modern Pathology·2024· 280 cited
Nongenerative Artificial Intelligence in Medicine: Advancements and Applications in Supervised and Unsupervised Machine Learning
Modern Pathology·2024· 36 citedOpen Access
Basics of digital pathology
Elsevier eBooks·2024
List of contributors
Elsevier eBooks·2024Open Access
The seven S’s for success
Elsevier eBooks·2024
Statistics of Generative Artificial Intelligence and Nongenerative Predictive Analytics Machine Learning in Medicine
Modern Pathology·2024· 13 citedOpen Access
Supplementary Data from A Genomics-Driven Artificial Intelligence<b>–</b>Based Model Classifies Breast Invasive Lobular Carcinoma and Discovers <i>CDH1</i> Inactivating Mechanisms
2024Open Access
Data from A Genomics-Driven Artificial Intelligence<b>–</b>Based Model Classifies Breast Invasive Lobular Carcinoma and Discovers <i>CDH1</i> Inactivating Mechanisms
2024Open Access
page 1 of 7Next →

Frequent Co-authors

David S. Klimstra(13), Liron Pantanowitz(13), Meera Hameed(12), Victor E. Reuter(11), Orly Ardon(11), S. Joseph Sirintrapun(10), Edi Brogi(7), Christine England(7), Lorraine Corsale(7), Thomas J. Fuchs(6), Evangelos Stamelos(6), Peter Ntiamoah(6), Joshua Pantanowitz(5), Hooman H. Rashidi(5), Lee K. Tan(5), Yukako Yagi(5), Peter J. Schüffler(5), Brandon D. Gallas(5), Anil V. Parwani(5), Dig Vijay Kumar Yarlagadda(5)