{"id":234,"date":"2026-10-05T09:54:19","date_gmt":"2026-10-05T07:54:19","guid":{"rendered":"https:\/\/ice26.eposter.civired.com\/?post_type=portfolio&#038;p=234"},"modified":"2026-10-05T09:54:19","modified_gmt":"2026-10-05T07:54:19","slug":"up105-leveraging-machine-learning-to-predict-stone-free-rate-following-flexible-ureteroscopy-and-laser-lithotripsy-a-large-scale-single-center-analysis","status":"publish","type":"portfolio","link":"https:\/\/ice26.eposter.civired.com\/en\/portfolio\/up105-leveraging-machine-learning-to-predict-stone-free-rate-following-flexible-ureteroscopy-and-laser-lithotripsy-a-large-scale-single-center-analysis\/","title":{"rendered":"UP105: Leveraging machine learning to predict stone free rate following flexible ureteroscopy and laser lithotripsy: A large-scale single-center analysis"},"content":{"rendered":"<p>A retrospective analysis was conducted on 1265 adult patients (\u226518 years) treated with fURSL for urolithiasis at a high-volume center. A rigorous analytical pipeline was established, involving data cleaning, mode imputation for missing values, and multicollinearity mitigation via Variance Inflation Factor (VIF) assessment. Twelve ML algorithms\u2014comprising linear models, instance-based learners, and advanced ensemble methods\u2014were trained and validated. The primary outcomes were immediate SFS (visual assessment), definitive SFS (CT-KUB at 3 months showing no fragments &gt;2mm), and recurrence. Model efficacy was benchmarked using validation accuracy and F1-scores.<\/p>","protected":false},"excerpt":{"rendered":"<p>A retrospective analysis was conducted on 1265 adult patients (\u226518 years) treated with fURSL for urolithiasis at a high-volume center. A rigorous analytical pipeline was established, involving data cleaning, mode imputation for missing values, and multicollinearity mitigation via Variance Inflation &hellip; <a class=\"kt-excerpt-readmore\" href=\"https:\/\/ice26.eposter.civired.com\/en\/portfolio\/up105-leveraging-machine-learning-to-predict-stone-free-rate-following-flexible-ureteroscopy-and-laser-lithotripsy-a-large-scale-single-center-analysis\/\" aria-label=\"UP105: Leveraging machine learning to predict stone free rate following flexible ureteroscopy and laser lithotripsy: A large-scale single-center analysis\">read more<\/a><\/p>","protected":false},"author":3,"featured_media":235,"menu_order":0,"template":"","meta":{"_acf_changed":false},"portfolio-type":[19],"portfolio-tag":[],"class_list":["post-234","portfolio","type-portfolio","status-publish","has-post-thumbnail","hentry","portfolio-type-unmoderated-posters"],"acf":[],"_links":{"self":[{"href":"https:\/\/ice26.eposter.civired.com\/en\/wp-json\/wp\/v2\/portfolio\/234","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ice26.eposter.civired.com\/en\/wp-json\/wp\/v2\/portfolio"}],"about":[{"href":"https:\/\/ice26.eposter.civired.com\/en\/wp-json\/wp\/v2\/types\/portfolio"}],"author":[{"embeddable":true,"href":"https:\/\/ice26.eposter.civired.com\/en\/wp-json\/wp\/v2\/users\/3"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ice26.eposter.civired.com\/en\/wp-json\/wp\/v2\/media\/235"}],"wp:attachment":[{"href":"https:\/\/ice26.eposter.civired.com\/en\/wp-json\/wp\/v2\/media?parent=234"}],"wp:term":[{"taxonomy":"portfolio-type","embeddable":true,"href":"https:\/\/ice26.eposter.civired.com\/en\/wp-json\/wp\/v2\/portfolio-type?post=234"},{"taxonomy":"portfolio-tag","embeddable":true,"href":"https:\/\/ice26.eposter.civired.com\/en\/wp-json\/wp\/v2\/portfolio-tag?post=234"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}