In this video, Glenn T. Werneburg, MD, PhD, discusses potential future purposes of machine learning and synthetic intelligence in urology. He offered the abstracts “Machine learning algorithms reveal correct prediction of goal and patient-reported response to botulinum toxin for overactive bladder and outperform professional people in an exterior cohort” and “Machine learning algorithms predict urine tradition bacterial resistance to first line antibiotic remedy on the time of pattern assortment” on the Society of Urodynamics, Female Pelvic Medicine & Urogenital Reconstruction 2024 Winter Meeting in Fort Lauderdale, Florida. Werneburg is a urology resident at Glickman Urological & Kidney Institute at Cleveland Clinic, Cleveland, Ohio.Transcription:What are some subsequent steps relating to machine learning algorithms and urologic circumstances?Regarding these research, particularly, we’ve some extra efforts in phrases of validation. We need to validate these prospectively and set up how generalizable they’re on totally different affected person subsets. Those are elements of the work which are ongoing proper now. But pondering extra broadly, I feel that these 2 instances illustrate that synthetic intelligence and machine learning is absolutely poised to assist us outline which remedy for which affected person is probably the most appropriate. It’s a big step ahead towards precision drugs. In urology alone, we’ve many, many instances whereby we’ve totally different remedies which may work for various sufferers. But we do not know which remedy is greatest for which affected person. We usually have some concept; we’ve fairly good scientific judgment and numerous good knowledge with scientific trials. But nonetheless, we arrive at a scenario the place there are totally different therapies that will work equally effectively, however we do not know which affected person is greatest fitted to which remedy and which remedy is greatest fitted to which affected person. AI will help us with this. Just excited about prostate most cancers, for instance. We have many alternative remedy modalities. We have prostatectomy, several types of radiation remedy. We now have totally different modalities for focal remedy, the place solely a portion of the prostate is handled. We have lively surveillance, which is monitoring the situation with the concept to intervene when and if wanted, and algorithms similar to this will help us establish which modality might be greatest for which affected person. We’re actually enthusiastic on the overactive bladder finish and on the antibiotic resistance finish, however rather more broadly, it is set as much as assist us counsel our sufferers higher and assist us to enhance outcomes for our sufferers as effectively.This transcription was edited for readability.
https://www.urologytimes.com/view/dr-werneburg-on-machine-learning-and-ai-s-potential-in-urology
Dr. Werneburg on machine learning and AI’s potential in urology
