The study examines the impact of artificial intelligence (AI) on the diagnosis of prostate cancer using magnetic resonance imaging (MRI), emphasizing its ability to overcome the limitations of traditional methods. Through a systematic review based on the PRISMA guidelines, 20 recent studies (2023-2024) employing advanced techniques such as convolutional neural networks, deep learning, and computer-aided detection systems were evaluated. Findings revealed that AI significantly enhances diagnostic…
Read moreThe study examines the impact of artificial intelligence (AI) on the diagnosis of prostate cancer using magnetic resonance imaging (MRI), emphasizing its ability to overcome the limitations of traditional methods. Through a systematic review based on the PRISMA guidelines, 20 recent studies (2023-2024) employing advanced techniques such as convolutional neural networks, deep learning, and computer-aided detection systems were evaluated. Findings revealed that AI significantly enhances diagnostic accuracy, achieving areas under the curve (AUC) of up to 0.997, 99.5% sensitivity, and 99% specificity, while reducing interobserver variability and the need for invasive procedures. Additionally, limitations related to the required technological infrastructure and algorithm transparency were identified. The study concludes that AI is an essential tool in modern diagnosis, complementing traditional methods and improving the precision and efficiency of prostate cancer detection.
