Artificial Intelligence in Pediatric Urology

IF 2.4 4区 医学 Q2 UROLOGY & NEPHROLOGY
Hsin-Hsiao Scott Wang MD, MPH, MBAn , Ranveer Vasdev MD, MS , Caleb P. Nelson MD, MPH
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引用次数: 0
儿童泌尿外科的人工智能。
人工智能的应用是医学界最热门的话题之一。与严重依赖统计假设的传统方法不同,机器学习算法可以从数据中识别出高度复杂的模式,从而实现稳健的预测。近年来,有大量证据表明,使用人工智能方法的儿科泌尿学出版物呈指数级增长。虽然这些研究显示出更好地理解疾病和患者护理的巨大前景,但我们应该现实地看待儿科泌尿系统疾病和实践的性质所带来的挑战,以便继续进行高影响力的研究。
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来源期刊
Urologic Clinics of North America
Urologic Clinics of North America 医学-泌尿学与肾脏学
CiteScore
4.50
自引率
4.20%
发文量
77
审稿时长
6-12 weeks
期刊介绍: For 30 years, Urologic Clinics of North America has provided important clinical updates on the entire spectrum of urology. Each quarterly issue (February, May, August, and November) focuses on a specific topic, with review articles written by leading experts in the field. Topics include adult and pediatric clinical urology, as well as surgical oncology, radiology, pathology, erectile dysfunction, infertility, incontinence, transplantation, endourology, andrology, female urology, reconstructive surgery, and medical oncology.
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