AI-Deep Learning Interpreted Lung Cancer Biopsies As Well As Pathologists

MedicalResearch.com Interview with:

Saeed Hassanpour, PhDAssistant ProfessorDepartments of Biomedical Data Science,Computer Science, and EpidemiologyGeisel School of Medicine at DartmouthLebanon, NH 03756

Dr. Hassanpour

Saeed Hassanpour, PhD
Assistant Professor
Departments of Biomedical Data Science,
Computer Science, and Epidemiology
Geisel School of Medicine at Dartmouth
Lebanon, NH 03756

MedicalResearch.com: What is the background for this study? What are the main findings?

Response: Lung cancer is the deadliest cancer for both men and women in the western world. The most common form, lung adenocarcinoma, requires pathologist’s visual examination of resection slides to determine grade and treatment. However, this is a hard and tedious task. Using new technologies in artificial intelligence and deep learning, we trained a deep neural network to classify lung adenocarcinoma subtypes on histopathology slides and found that it performed on par with three practicing pathologists. Continue reading