Artificial intelligence (AI) in prostate MRI analysis shows great promise and impressive performance. A large number of studies present the usefulness of AI models in tasks such as prostate segmentation, lesion detection, and the classification and stratification of a cancer’s aggressiveness. This article presents a subjective critical review of AI in prostate MRI analysis. It discusses both the technology’s current state and its most recent advances, as well as its challenges. The article then presents opportunities in the context of ongoing research, which possesses the potential to reduce bias and to be applied in clinical settings.
The detection of prostate cancer is an important challenge for medical personnel. To improve the medical system’s ability to process increasing numbers of oncological patients, demand for automation systems is growing. At the National Information Processing Institute, such systems are undergoing active development. In this work, the authors present the results of a pilot study whose goal is to analyze possible directions in the development of new, advanced deep learning systems using a high quality dataset that is currently in development.
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