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

Cancer Survival Analysis01:21

Cancer Survival Analysis

328
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
328

You might also read

Related Articles

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

Sort by
Same author

Laparoscopic resection of small bowel neuroendocrine tumors: A long-term survival analysis.

Journal of neuroendocrinology·2026
Same author

Survival Following Neoadjuvant Chemoradiation in Rectosigmoid Junction Adenocarcinoma: SEER Analysis.

The Journal of surgical research·2026
Same author

Short-term surgical outcomes of robotic-assisted versus laparoscopic ileal pouch-anal anastomosis (IPAA): a systematic review and meta-analysis.

Surgical endoscopy·2026
Same author

Predictors of a Long Hospital Stay After Abdominoperineal Resection of Rectal Cancer: Analysis of the National Cancer Database.

The American surgeon·2026
Same author

What is the Impact of Comorbidities in the Outcomes of Minimally Invasive Surgery for Elderly Patients With Colorectal Cancer?

Surgical laparoscopy, endoscopy & percutaneous techniques·2026
Same author

Laparoscopic low anterior resection with en bloc total hysterectomy and bilateral salpingectomy for stage IV endometriosis-A video vignette.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland·2026

Related Experiment Video

Updated: Jun 5, 2025

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

213

Comparing the Management Recommendations of Large Language Model and Colorectal Cancer Multidisciplinary Team: A

Nir Horesh1,2,3, Sameh Hany Emile1,4, Shashank Gupta1

  • 1Department of Colorectal Surgery, Ellen Leifer Shulman and Steven Shulman Digestive Disease Center, Cleveland Clinic Florida, Weston, Florida.

Diseases of the Colon and Rectum
|December 16, 2024
PubMed
Summary
This summary is machine-generated.

Generative artificial intelligence chatbots show high concordance with multidisciplinary team decisions for anorectal cancer management. These large language models show potential to support clinical decision-making in oncology.

More Related Videos

Robot-assisted Total Mesorectal Excision and Lateral Pelvic Lymph Node Dissection for Locally Advanced Middle-low Rectal Cancer
12:45

Robot-assisted Total Mesorectal Excision and Lateral Pelvic Lymph Node Dissection for Locally Advanced Middle-low Rectal Cancer

Published on: February 12, 2022

5.5K
Author Spotlight: Liujunzi Decoction as a Traditional Chinese Treatment for Coloproctitis Cancer
06:24

Author Spotlight: Liujunzi Decoction as a Traditional Chinese Treatment for Coloproctitis Cancer

Published on: October 13, 2023

814

Related Experiment Videos

Last Updated: Jun 5, 2025

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

213
Robot-assisted Total Mesorectal Excision and Lateral Pelvic Lymph Node Dissection for Locally Advanced Middle-low Rectal Cancer
12:45

Robot-assisted Total Mesorectal Excision and Lateral Pelvic Lymph Node Dissection for Locally Advanced Middle-low Rectal Cancer

Published on: February 12, 2022

5.5K
Author Spotlight: Liujunzi Decoction as a Traditional Chinese Treatment for Coloproctitis Cancer
06:24

Author Spotlight: Liujunzi Decoction as a Traditional Chinese Treatment for Coloproctitis Cancer

Published on: October 13, 2023

814

Area of Science:

  • Oncology
  • Artificial Intelligence
  • Medical Informatics

Background:

  • Anorectal cancer management necessitates a multidisciplinary team approach.
  • Large language models (LLMs) are emerging as potential tools in healthcare.
  • Evaluating LLM applicability in clinical decision support is crucial.

Purpose of the Study:

  • To assess the concordance between management recommendations from a generative artificial intelligence (AI) chatbot and those from a colorectal cancer multidisciplinary team.
  • To evaluate the clinical applicability of AI-driven recommendations in anorectal cancer care.

Main Methods:

  • A comparative pilot study was conducted at a single tertiary referral center.
  • Management recommendations from an AI chatbot were compared against historical consensus decisions from a multidisciplinary team for 15 patients with anal or colorectal cancer.
  • Concordance was assessed on a 5-point scale, with justification evaluated by colorectal surgeons.

Main Results:

  • The AI chatbot achieved a high average concordance rating of 4.08 with multidisciplinary team decisions.
  • Multidisciplinary team treatment strategies included neoadjuvant therapy (33.3%), upfront surgery (26.6%), and further diagnostic assessment (20%).
  • Moderate interrater agreement was observed for concordance (κ=0.333-0.577), while agreement on justification was slight (κ=0.047-0.094).

Conclusions:

  • Generative AI chatbots demonstrate significant concordance with expert multidisciplinary team decisions in anorectal cancer management.
  • LLMs show promise as supportive tools for clinical decision-making in oncology.
  • Further research with larger sample sizes is warranted to validate these findings.