Role of Artificial Intelligence in Grading and Prognosis of Prostate Cancer

Abstract

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly influencing the medical field, particularly in the diagnosis and prognosis of prostate cancer. AI technologies facilitate complex tasks in identifying and characterizing prostate cancer through image-based analyses, including histopathology and MRI. These advancements are enhancing evaluation methods and improving patient outcomes by incorporating additional data such as demographic factors and experimental markers into risk prediction models, increasing the accuracy of prostate cancer prognosis from 60% to 80%. ML, a subset of AI, leverages large datasets to improve predictions regarding cancer susceptibility, recurrence, and survival rates. Despite its potential, AI still requires significant human input in its development and faces various challenges before it can fully integrate into clinical practice.