Artificial Intelligence in Cancer Diagnosis and Prognosis: Brain and prostate cancer

A comprehensive overview of artificial intelligence (AI) and machine learning (ML) applications in cancer diagnosis and treatment, particularly focusing on brain and prostate cancers. The text examines various methods, including deep convolutional neural networks (DCNNs) and the widely used U-Net architecture, for tasks like tumor segmentation, prognosis, and treatment planning within radiation oncology. Additionally, the sources discuss the challenges and solutions in handling medical image data—such as MRI, CT, and hyperspectral images—and address the need for data standardization and privacy protection through techniques like federated learning and explainable AI. Overall, the material highlights the rapidly advancing role of computational methods in improving the accuracy and efficiency of cancer care.You can listen and download our episodes for free on more than 10 different platforms:https://linktr.ee/medicine_made_simpleProduced by:https://www.podcaistudio.com/