Dr. Hanson earned his Doctor of Medicine degree (2007) from the University of Arizona College of Medicine followed by AP/CP residency at the University of Vermont and a Gastrointestinal/Liver pathology fellowship at Yale School of Medicine. He is currently the Anatomic Pathology Division Chief.

Personal Statement

I am a general surgical pathologist and cytopathologist with subspecialty expertise in gastrointestinal (GI) and liver pathology. I enjoy all that academic pathology has to offer (research, clinical diagnostics, education etc...) and am a locoregional consultant for challenging GI/liver cases. As the Anatomic Pathology Division Chief, I mentor junior faculty and strive to continuously improve our efficiency of practice. I teach all levels of learners in the UNM School of Medicine, primarily focusing on inflammatory and neoplastic diseases of the GI tract and liver. My research primarily focuses on how Artificial Intelligence (AI) can improve tissue diagnostics.

Areas of Specialty

Gastrointestinal and liver pathology.


Medical School: University of Arizona, College of Medicine (2007)
Residency: The University of Vermont and Fletcher Allen Health Care (2011), Anatomical and Clinical Pathology Residency
Fellowship: Yale University (2012), Gastrointestinal and Hepatic Pathology


American Board of Pathology, Anatomic and Clinical Pathology, June 2011.
Certification of Completion in Morphology Training for the SurePath Liquid-Based Pap test, 2012.

Achievements & Awards

Exemplary Teacher Recognition, University of New Mexico School of Medicine.
Resident Teaching Award, University of New Mexico Department of Pathology

Key Publications

Journal Article
Hanson, Joshua, 2022 A Deep Learning Convolutional Neural Network Can Differentiate Between Helicobacter Pylori Gastritis and Autoimmune Gastritis with Results Comparable to Gastrointestinal Pathologists
Journal Article
Martin, David, Hanson, Joshua, Gullapalli, Ramachandra, Schultz, F, A Sethi, Aisha, Clark, Douglas, 2020 A Deep Learning Convolutional Neural Network Can Recognize Common Patterns of Injury in Gastric Pathology. Archives of pathology & laboratory medicine, vol. 144, Issue 3, 370-378
Journal Article
Hanson, Joshua, 2020 Comparing Deep Learning and Immunohistochemistry in Determining Site of Origin for Well Differentiated Neuroendocrine Tumors (WDNETs)
Journal Article
Hanson, Joshua, 2023 Granulocyte Colony Stimulating Factor is a Novel Mediator of T-cell Suppression and an Immunotherapeutic Target for Women with Colon Cancer. Clinical Cancer Research
Journal Article
Hanson, Joshua, 2023 Lymph Node Metastases in Papillary Thyroid Carcinoma can be Predicted by a Convolutional Neural Network: a Multi-Institution Study




  • English

Courses Taught

Colon polyps and colorectal cancer, including molecular considerations.
Inflammatory bowel disease and other colitides.
Inflammatory and preneoplastic conditions of the esophagus.
Inflammatory gastric pathology.
An algorithmic approach to patterns of hepatitis.

Research and Scholarship

My research investigates how artificial intelligence (AI) can aid tissue diagnostics and how inflammatory biomarkers can help predict outcomes in gastrointestinal cancers.