Objective:To provide a comprehensive review on the existing research and evidence regarding artificial intelligence(AI)applications in the assessment and management of urinary stone disease.Methods:A comprehensive lit...Objective:To provide a comprehensive review on the existing research and evidence regarding artificial intelligence(AI)applications in the assessment and management of urinary stone disease.Methods:A comprehensive literature review was performed using PubMed,Scopus,and Google Scholar databases to identify publications about innovative concepts or supporting applications of AI in the improvement of every medical procedure relating to stone disease.The terms“endourology”,“artificial intelligence”,“machine learning”,and“urolithiasis”were used for searching eligible reports,while review articles,articles referring to automated procedures without AI application,and editorial comments were excluded from the final set of publications.The search was conducted from January 2000 to September 2023 and included manuscripts in the English language.Results: A total of 69 studies were identified.The main subjects were related to the detection of urinary stones,the prediction of the outcome of conservative or operative management,the optimization of operative procedures,and the elucidation of the relation of urinary stone chemistry with various factors.Conclusion: AI represents a useful tool that provides urologists with numerous amenities,which explains the fact that it has gained ground in the pursuit of stone disease management perfection.The effectiveness of diagnosis and therapy can be increased by using it as an alternative or adjunct to the already existing data.However,little is known concerning the potential of this vast field.Electronic patient records,containing big data,offer AI the opportunity to develop and analyze more precise and efficient diagnostic and treatment algorithms.Nevertheless,the existing applications are not generalizable in real-life practice,and high-quality studies are needed to establish the integration of AI in the management of urinary stone disease.展开更多
Rectal bleeding is frequently seen in patients undergoing transrectal ultrasound(TRUS)-guided multiple biopsy of the prostate,but is usually mild and stops spontaneously.We report what is believed to be the first case...Rectal bleeding is frequently seen in patients undergoing transrectal ultrasound(TRUS)-guided multiple biopsy of the prostate,but is usually mild and stops spontaneously.We report what is believed to be the first case of life-threatening rectal bleeding following this procedure,which was successfully treated by endoscopic intervention through placement of three clips on the sites of bleeding.This case emphasizes endoscopic intervention associated with endoclipping as a safe and effective method to achieve hemostasis in massive rectal bleeding after prostate biopsy.Additionally,current data on the complications of the TRUS-guided multiple biopsy of the prostate and the options for treating fulminant rectal bleeding, a consequence of this procedure,are described.展开更多
文摘Objective:To provide a comprehensive review on the existing research and evidence regarding artificial intelligence(AI)applications in the assessment and management of urinary stone disease.Methods:A comprehensive literature review was performed using PubMed,Scopus,and Google Scholar databases to identify publications about innovative concepts or supporting applications of AI in the improvement of every medical procedure relating to stone disease.The terms“endourology”,“artificial intelligence”,“machine learning”,and“urolithiasis”were used for searching eligible reports,while review articles,articles referring to automated procedures without AI application,and editorial comments were excluded from the final set of publications.The search was conducted from January 2000 to September 2023 and included manuscripts in the English language.Results: A total of 69 studies were identified.The main subjects were related to the detection of urinary stones,the prediction of the outcome of conservative or operative management,the optimization of operative procedures,and the elucidation of the relation of urinary stone chemistry with various factors.Conclusion: AI represents a useful tool that provides urologists with numerous amenities,which explains the fact that it has gained ground in the pursuit of stone disease management perfection.The effectiveness of diagnosis and therapy can be increased by using it as an alternative or adjunct to the already existing data.However,little is known concerning the potential of this vast field.Electronic patient records,containing big data,offer AI the opportunity to develop and analyze more precise and efficient diagnostic and treatment algorithms.Nevertheless,the existing applications are not generalizable in real-life practice,and high-quality studies are needed to establish the integration of AI in the management of urinary stone disease.
文摘Rectal bleeding is frequently seen in patients undergoing transrectal ultrasound(TRUS)-guided multiple biopsy of the prostate,but is usually mild and stops spontaneously.We report what is believed to be the first case of life-threatening rectal bleeding following this procedure,which was successfully treated by endoscopic intervention through placement of three clips on the sites of bleeding.This case emphasizes endoscopic intervention associated with endoclipping as a safe and effective method to achieve hemostasis in massive rectal bleeding after prostate biopsy.Additionally,current data on the complications of the TRUS-guided multiple biopsy of the prostate and the options for treating fulminant rectal bleeding, a consequence of this procedure,are described.
