Over the last few decades, the promise of artificial intelligence (AI) in medicine has been widely theorized. Only in the last few years have physicians and computer scientists begun to realize the genuine therapeutic potential of this technology. Reproductive urology is a sub-discipline where AI might make a significant difference, as present prediction models and subjectivity in the area have severe limits. For a review, researchers conducted a literature study to highlight current AI uses in reproductive urology. Early AI applications in reproductive urology focused on predicting sperm parameters using questionnaires that identified relevant environmental variables and/or lifestyle habits that influence male fertility. AI has demonstrated efficacy in identifying which patient subpopulations are most likely to require a genetic workup for azoospermia. Automated sperm identification is now a reality thanks to recent breakthroughs in image processing. With the advent of AI, sperm analyses, which were formerly a laboratory-only diagnostic procedure, have made their way into the homes of healthcare consumers.
AI’s prospects in medicine were promising, and there was significant promise for AI in reproductive urology. It was critical to do research to determine the elements that might impact reproductive success, whether naturally or through assisted reproduction, in order to advance the discipline.
Reference:link.springer.com/article/10.1007/s11934-019-0914-4
