SciLifeLab Data Centre is launching a new seminar series on the topic of applied AI in life science research. SciLifeLab AI Seminar Series combines scientific highlights from SciLifeLab-affiliated researchers and invited experts on the general topic of AI applications in Life Science. The SciLifeLab AI Seminar Series will be held virtually on Zoom and videos will be published openly after the seminars.
Contact: Prof. Ola Spjuth, AI coordinator, SciLifeLab Data Center.
October 2, 2020
Associate professor, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet
ABSTRACT: Histopathological evaluation of prostate biopsies is critical to the clinical management of men suspected of having prostate cancer. Despite this importance, the histopathological diagnosis of prostate cancer is associated with a number of challenges: The large number of prostate biopsies being performed worldwide together with the shortage of pathologists and the high inter-pathologist variability leads to suboptimal prostate cancer diagnostics and prognostication, with risks for under- and overtreatment.
We have over the last years developed an artificial intelligence (AI) system to assist the pathologists in the evaluation of prostate biopsies, with the overarching aim of solving these problems. In a recent article (Ström, Kartasalo, Olsson et al. Lancet Oncology, 2020), we demonstrate that the system performs on par with internationally leading uro-pathologist for diagnosing and grading prostate needle biopsies. Clinical application of the system has the potential to reduce pathology workload, standardise grading, and provide pathology expertise in parts of the world where it does not exist. We will in our presentation describe the development of the AI system as well as discuss current and future research for clinical translation and development of methods for going beyond today’s prostate cancer grading to improve prognostication and treatment selection.
Register to receive the zoom-link. The seminar is free of charge, but registration is required (max 300 pers).
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