Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Endothelial PARP1 orchestrates endothelial-to-mesenchymal transition via the PARylation of FHL2 in ischaemic heart failure.

Acta pharmacologica Sinica·2026
Same author

Machine Learning-Based Risk Stratification for Symptomatic Intracranial Hemorrhage and 3-Month Prognosis following Intravenous Thrombolysis.

Cerebrovascular diseases extra·2026
Same author

Correction: Gender differences in gut microbiome composition between schizophrenia patients with normal body weight and central obesity.

Frontiers in psychiatry·2026
Same author

Adaptive optical beam tracking and alignment system with a wide field-of-view for optical wireless communication.

Optics express·2026
Same author

WISP1 is the stromal-secreting oncoprotein via paracrine downregulation of NDRG1, KAI1, and Maspin in human bladder cancer cells.

Translational oncology·2026
Same author

Comparative Analysis of Surgical Outcomes Between Robotic-Assisted Pyelolithotomy and Mini-Percutaneous Nephrolithotomy for Renal Stones Larger Than 2 cm in Older Adults: A One-Year Follow-Up Study.

International journal of nephrology and renovascular disease·2025

Related Experiment Video

Updated: Oct 16, 2025

Retzius-Sparing Robot-Assisted Radical Prostatectomy
12:10

Retzius-Sparing Robot-Assisted Radical Prostatectomy

Published on: May 19, 2022

8.1K

An Automatic Bleeding-Rank System for Transurethral Resection of the Prostate Surgery Videos Using Machine Learning.

Jian-Wen Chen1, Wan-Ju Lin2, Chun-Yuan Lin3

  • 1Department of Computer Science, National Tsing Hua University, Hsinchu 30013, Taiwan.

Diagnostics (Basel, Switzerland)
|October 23, 2021
PubMed
Summary

This study introduces machine learning to rank bleeding during prostate surgery. The AI accurately assesses blood levels, reducing urologist workload and improving patient care.

Keywords:
ResUnet modelranking of bleeding level classificationtransurethral resection of the prostate (TURP)

More Related Videos

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
07:46

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Published on: August 9, 2024

889
Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence
08:05

Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence

Published on: June 10, 2025

769

Related Experiment Videos

Last Updated: Oct 16, 2025

Retzius-Sparing Robot-Assisted Radical Prostatectomy
12:10

Retzius-Sparing Robot-Assisted Radical Prostatectomy

Published on: May 19, 2022

8.1K
Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
07:46

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Published on: August 9, 2024

889
Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence
08:05

Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence

Published on: June 10, 2025

769

Area of Science:

  • Urology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Benign prostatic hyperplasia (BPH) causes lower urinary tract symptoms (LUTS) in aging males.
  • Transurethral resection of the prostate (TURP) is a common treatment for BPH.
  • Intraoperative bleeding is a frequent complication during TURP, necessitating careful monitoring.

Purpose of the Study:

  • To develop and evaluate machine learning algorithms for ranking intraoperative bleeding levels during TURP surgery.
  • To automate the assessment of bleeding severity from surgical videos, reducing reliance on subjective human evaluation.
  • To provide an objective tool for monitoring and managing bleeding during TURP.

Main Methods:

  • Utilized machine learning-based ranking algorithms to analyze surgical videos.
  • Defined four bleeding levels (excellent, acceptable, slightly bad, bad) based on visual clarity, as determined by experienced urologists.
  • Trained and tested algorithms on video data to classify bleeding severity.

Main Results:

  • Achieved high revised accuracy rates across all bleeding levels: 90% (excellent), 89% (acceptable), 90% (slightly bad), and 91% (bad).
  • Demonstrated the capability of the proposed methods to accurately and efficiently classify bleeding levels.
  • Indicated a significant potential to reduce the burden on urologists in assessing bleeding during surgery.

Conclusions:

  • Machine learning algorithms can effectively rank bleeding levels during TURP surgery.
  • The developed AI tool offers an accurate and efficient method for intraoperative bleeding assessment.
  • This technology has the potential to improve surgical outcomes and alleviate urologist workload.