A Deep Learning Artificial Intelligence Algorithm Helps Pathologists Improve Diagnostic Accuracy and Efficiency in the Detection of Lymph Node Metastases in Breast Cancer Patients

Mar 1, 2023·
Juan Retamero
,
Ege Gulturk
,
Jocelyn Sue
Alican Bozkurt
Alican Bozkurt
,
Julian Viret
,
Kevin Malfroid
,
Brandon Rothrock
,
Siqi Liu
,
Matthew C. H. Lee
,
Mirela Gorgan
,
Thomas J. Fuchs
· 0 min read
Abstract
We present a deep learning AI algorithm designed to assist pathologists in detecting breast cancer lymph node metastases. In a reader study, pathologists using the AI system demonstrated improved diagnostic accuracy and efficiency compared to unaided review.
Type
Publication
In Laboratory Investigation 103(3), S203–S204 (2023)
publication
Computational Pathology Breast Cancer Deep Learning
Alican Bozkurt
Authors
Alican Bozkurt
AI Scientist
I am an AI Scientist at Paige AI. I did my Ph.D. with Jennifer Dy, Dana Brooks, and Jan-Willem van de Meent at Northeastern University. My main research interests are machine learning with emphasis on probabilistic programming, deep neural networks, and their applications in biomedical image processing. I am one of the developers of Probabilistic Torch, a library for deep generative models that extends PyTorch. I am also one of the maintainers of the PyTorch distributions module.