The collaboration will evaluate the clinical performance of Ibex’s Galen Breast algorithm in detecting and grading breast cancer as well as evaluate its effect on clinical workflow, according to a March 21 news release. The algorithm uses deep learning technology to detect and grade different types of breast cancer with the goal of improving the quality of diagnosis, detecting diagnostic error and enhancing patient safety and experience.
“This AI assistant provides a higher safety net with minimal, additional effort,” said Margaret Assad, MD, program director of the selective pathology fellowship at Hartford Hospital. Dr. Assad said the hospital could begin to use the algorithm to review cases after physicians have analyzed microscopic slides.
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