"Pathology Test Uses AI To Predict Prostate Cancer Progression Following Surgery"
A pathology test that applies artificial intelligence (AI) to characterize tissue samples can accurately predict clinically significant prostate cancer disease progression following surgery, according to a study conducted at the Icahn School of Medicine at Mount Sinai and published in Nature Prostate Cancer and Prostatic Diseases. “By refining diagnoses, we can guide patients toward the best treatment option and optimize care,” said senior author Carlos Cordon-Cardo, MD, PhD, chair of the department of pathology at the Mount Sinai Health System. “The ability to generate more quantitative, less subjective, and enhanced cancer-grading systems will bring precision medicine to the practicing pathologist and provide treating physicians and their patients important information for guiding management decisions,” said lead author Michael Donovan, MD, PhD, research professor of pathology at the Icahn School of Medicine at Mount Sinai. “Precision medicine is an innovative model of health care, and Mount Sinai is well-positioned to provide our patients with more accurate diagnosis and tailored treatments,” said Dennis S. Charney, MD, Anne and Joel Ehrenkranz Dean of the Icahn School of Medicine at Mount Sinai, and President for Academic Affairs at the Mount Sinai Health System. “Machine-learning systems in prostate cancer grading provide a more objective measure of risk assessment.”
- Carlos Cordon-Cardo, MD, PhD, Chair, Department of Pathology, Mount Sinai Health System, Professor, Pathology, Genetics and Genomic Sciences, Oncological Sciences, Icahn School of Medicine at Mount Sinai
- Michael Donovan, MD, PhD, Research Professor, Pathology, Icahn School of Medicine at Mount Sinai
- Ashutosh Tewari, MBBS, MCh, Professor, System Chair, Urology, Icahn School of Medicine at Mount Sinai
- Kyung Hyun Kim, MD, Professor, Urology, Icahn School of Medicine at Mount Sinai
- Dennis S. Charney, MD, Anne and Joel Ehrenkranz Dean, Icahn School of Medicine at Mount Sinai, President, Academic Affairs, Mount Sinai Health System
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