医学
前列腺癌
组织病理学
深度学习
人工智能
癌症
放射科
机器学习
病理
内科学
计算机科学
作者
Puria Azadi Moghadam,Ali Bashashati,S. Larry Goldenberg
标识
DOI:10.1016/j.ucl.2023.06.001
摘要
Artificial intelligence (AI) has the potential to transform pathologic diagnosis and cancer patient management as a predictive and prognostic biomarker. AI-based systems can be used to examine digitally scanned histopathology slides and differentiate benign from malignant cells and low from high grade. Deep learning models can analyze patient data from individual or multimodal combinations and identify patterns to be used to predict the response to different therapeutic options, the risk of recurrence or progression, and the prognosis of the newly diagnosed patient. AI-based models will improve treatment planning for patients with prostate cancer and improve the efficiency and cost-effectiveness of the pathology laboratory.
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