51 Computer Vision News Computer Vision News bleeding risks, particularly for those patients taking anticoagulant or antiplatelet therapy, while accurately measuring prostate size and identifying anatomical features. Additionally, selecting the most appropriate surgical energies or techniques based on individual patient characteristics adds another layer of difficulty. Experience plays a crucial role. “With every technique, the higher caseload you do, the better the outcomes,” Arnon points out. “That’s something across the surgical field, and I think it’s true for benign prostate surgery.” Artificial Intelligence has the potential to revolutionize prostate treatment by addressing these challenges. AI enhances preoperative planning by predicting bleeding risks and identifying anatomical features such as big median lobes, high bladder necks, and proximity to the urethral orifices that are difficult to assess with conventional imaging. “Better patient selection is the main challenge for benign prostatic surgery,” Arnon notes. “AI can help us select and do that finetuning to choose the best treatment, energy, or technique for each patient with his unique characteristics.” For localized prostate cancer, treatment has traditionally involved either surgery or radiation therapy combined with androgen deprivation therapy. “As far as we know, the oncological outcomes are equivalent, but there are certain characteristics or adverse effects that differ between these two treatments,” Arnon explains. “When we talk about prostate cancer surgery, the standard of care throughout the Western world today is probably robotic surgery. However, the fact that there’s no tactile feedback with the available robotic consoles is a major drawback – although the newer systems are trying to incorporate these things.” Studies have shown that around 5% of men experience persistent urinary incontinence one year after undergoing prostate cancer surgery, while incidence rates of erectile dysfunction vary from 30% to 50%. Predicting these outcomes is complex, and AI tools to better assess individual patient risk are still under development. Surgeons face AI Treatments for Urology
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