Computer Vision News 42 Surgical Video Analysis Calculation of the PI-RADS score may be influenced by external factors such as experience, training or fatigue of the radiologist, which introduces variability into the process. Artificial Intelligence has the potential to serve as a valuable aid in accurately and robustly calculating the PI-RADS score, as AI algorithms output numerical values, which increase diagnosis objectivity and repeatability. For example, gradients and color distributions can be quantified to analyze the tumor and determine the homogeneity of the tissue. The data obtained from AI algorithms assists physicians in calculating the PIRADS score, leading to a more appropriate course of action. These advances in determining crucial details such as the size, location and state of the cancer allow physicians to choose the most suitable treatment for the patient. Prostate cancer is the second most prevalent cancer in men, affecting about 1 in 8 men during their lifetime. Often, patients will have an MRI scan as part of regular screening. MRI images identify regions and details such as the prostate boundary, zones and tumors, which radiologists use to calculate the Prostate Imaging Reporting and Data System (PI-RADS) score. The PI-RADS score ranges from 1 to 5 (low to high probability of clinically significant cancer) and provides the basis for diagnosis and treatment. Patients with a PI-RADS score of 3 or more usually undergo a prostate biopsy to detect suspected cancer.
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