Artificial Intelligence for Autonomous Robotic Surgery in Urology: A Narrative Review

Artificial intelligence (AI) has emerged as a transformative force in various sectors, including medicine, where it processes high-dimensional data to improve diagnostics and treatment outcomes. This review explores AI applications in urological surgery, highlighting advancements such as image class...

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Main Authors: Dae Young Lee, Hee Jo Yang
Format: Article
Language:English
Published: Korean Association of Urogenital Tract Infection and Inflammation 2024-12-01
Series:Urogenital Tract Infection
Subjects:
Online Access:http://euti.org/upload/pdf/uti-2448020010.pdf
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author Dae Young Lee
Hee Jo Yang
author_facet Dae Young Lee
Hee Jo Yang
author_sort Dae Young Lee
collection DOAJ
description Artificial intelligence (AI) has emerged as a transformative force in various sectors, including medicine, where it processes high-dimensional data to improve diagnostics and treatment outcomes. This review explores AI applications in urological surgery, highlighting advancements such as image classification and robotic assistance in surgical procedures. AI has demonstrated exceptional diagnostic accuracy, with some systems achieving up to 99.38% in detecting prostate cancer. Additionally, AI facilitates real-time anatomical recognition and instrument delineation, increasing surgical precision. While current robotic systems operate under human supervision, ongoing research aims to advance autonomous surgical capabilities. The future of AI in robotic surgery is promising, especially regarding the possibility of improved outcomes; nonetheless, challenges related to autonomy, safety, and ethics remain.
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institution Kabale University
issn 2465-8243
2465-8510
language English
publishDate 2024-12-01
publisher Korean Association of Urogenital Tract Infection and Inflammation
record_format Article
series Urogenital Tract Infection
spelling doaj-art-db55b1b89a124038a25e7cabe6ab59f42025-08-20T03:32:11ZengKorean Association of Urogenital Tract Infection and InflammationUrogenital Tract Infection2465-82432465-85102024-12-01193808810.14777/uti.2448020010423Artificial Intelligence for Autonomous Robotic Surgery in Urology: A Narrative ReviewDae Young LeeHee Jo YangArtificial intelligence (AI) has emerged as a transformative force in various sectors, including medicine, where it processes high-dimensional data to improve diagnostics and treatment outcomes. This review explores AI applications in urological surgery, highlighting advancements such as image classification and robotic assistance in surgical procedures. AI has demonstrated exceptional diagnostic accuracy, with some systems achieving up to 99.38% in detecting prostate cancer. Additionally, AI facilitates real-time anatomical recognition and instrument delineation, increasing surgical precision. While current robotic systems operate under human supervision, ongoing research aims to advance autonomous surgical capabilities. The future of AI in robotic surgery is promising, especially regarding the possibility of improved outcomes; nonetheless, challenges related to autonomy, safety, and ethics remain.http://euti.org/upload/pdf/uti-2448020010.pdfartificial intelligenceroboticsurology
spellingShingle Dae Young Lee
Hee Jo Yang
Artificial Intelligence for Autonomous Robotic Surgery in Urology: A Narrative Review
Urogenital Tract Infection
artificial intelligence
robotics
urology
title Artificial Intelligence for Autonomous Robotic Surgery in Urology: A Narrative Review
title_full Artificial Intelligence for Autonomous Robotic Surgery in Urology: A Narrative Review
title_fullStr Artificial Intelligence for Autonomous Robotic Surgery in Urology: A Narrative Review
title_full_unstemmed Artificial Intelligence for Autonomous Robotic Surgery in Urology: A Narrative Review
title_short Artificial Intelligence for Autonomous Robotic Surgery in Urology: A Narrative Review
title_sort artificial intelligence for autonomous robotic surgery in urology a narrative review
topic artificial intelligence
robotics
urology
url http://euti.org/upload/pdf/uti-2448020010.pdf
work_keys_str_mv AT daeyounglee artificialintelligenceforautonomousroboticsurgeryinurologyanarrativereview
AT heejoyang artificialintelligenceforautonomousroboticsurgeryinurologyanarrativereview