27 июн. 2024 г. · AI products are now available to facilitate prostate cancer diagnosis, determine Gleason score, and predict the benefit of androgen deprivation ...

When applied to diagnostic imaging, AI has shown excellent accuracy in the detection of prostate lesions as well as in the prediction of patient outcomes in ...

1 мая 2024 г. · Abstract. Context: Automated prostate cancer detection using machine learning technology has led to speculation that pathologists will soon be ...

Machine learning and deep learning combined with medical imaging have a broad application prospect for the diagnosis and staging of prostate cancer, but the ...

Application of Machine Learning and Deep Learning Models in Prostate Cancer Diagnosis Using Medical Images: A Systematic Review. by. Olusola Olabanjo.

Conclusion: The results of the current retrospective study suggest that machine learning techniques can predict prostate cancer with significantly better AUC, ... Abstract · Introduction · Methods · Discussion

Thus, in this study, we evaluated the applicability of ma- chine learning methods that combine data on age and PSA lev- els in predicting prostate cancer.

This study aimed to establish a machine learning-based prostate cancer prediction model to help physicians accurately identify high-risk patients. This study ...

In this study, it is aimed to classify cancer based on machine learning (ML) and to determine the most important risk factors by using risk factors for ...

1 мар. 2022 г. · We created a new Deep Learning system to detect cancer areas and predict Gleason grades on WSI of prostate CNBs. The suggested system employs a ...