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

Improved Oncologic Outcomes with Trimodality Therapy for Radiation-Associated Angiosarcoma of the Breast.

Annals of surgical oncology·2026
Same author

Cardiac magnetic resonance imaging parameters predict new-onset symptoms of heart failure in hypertrophic cardiomyopathy.

ESC heart failure·2026
Same author

Multi‑scale immune and spatial profiling of sclerosing adenosis and surrounding breast tissue identifies an immune‑cold field phenotype associated with breast cancer risk.

Breast cancer research : BCR·2026
Same author

A systematic review of spatial epidemiological modeling approaches applied during the COVID-19 pandemic.

BMC public health·2026
Same author

The Human Male Mammary Gland has Similar Epithelial Populations to Female but Distinct Composition and Transcriptional Properties.

bioRxiv : the preprint server for biology·2026
Same author

Epidermal Growth Factor Receptor/KIT-Linked Proliferative Bias in Normal Breast Lobules from Matched Non-Hispanic Black and White Women Is Rapidly Reversible by Receptor Tyrosine Kinase Inhibition.

The American journal of pathology·2026

Related Experiment Video

Updated: Dec 6, 2025

Single-Port Robotic-assisted Transaxillary Breast-conserving Surgery: A Prospective, Single-arm, Non-randomized Phase IIa Clinical Trial
03:07

Single-Port Robotic-assisted Transaxillary Breast-conserving Surgery: A Prospective, Single-arm, Non-randomized Phase IIa Clinical Trial

Published on: August 19, 2025

547

Using operative features to identify surgical complexity: a case in breast surgery practice.

Derya Kilinc, Narges Shahraki, Esma S Gel

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 6, 2020
    PubMed
    Summary

    Predicting surgical duration using historical data can group surgical procedures by complexity. A data-driven tree-based method aligns with expert opinion, improving operating room efficiency and surgeon satisfaction.

    More Related Videos

    Intraoperative Assessment of Resection Margins in Oral Cavity Cancer: This is the Way
    04:45

    Intraoperative Assessment of Resection Margins in Oral Cavity Cancer: This is the Way

    Published on: May 10, 2021

    4.2K
    Endoscopic Bilateral Nipple-sparing Mastectomy via a Single Axillary Incision with Immediate Pre-pectoral Implant-based Breast Reconstruction
    13:35

    Endoscopic Bilateral Nipple-sparing Mastectomy via a Single Axillary Incision with Immediate Pre-pectoral Implant-based Breast Reconstruction

    Published on: May 17, 2024

    3.6K

    Related Experiment Videos

    Last Updated: Dec 6, 2025

    Single-Port Robotic-assisted Transaxillary Breast-conserving Surgery: A Prospective, Single-arm, Non-randomized Phase IIa Clinical Trial
    03:07

    Single-Port Robotic-assisted Transaxillary Breast-conserving Surgery: A Prospective, Single-arm, Non-randomized Phase IIa Clinical Trial

    Published on: August 19, 2025

    547
    Intraoperative Assessment of Resection Margins in Oral Cavity Cancer: This is the Way
    04:45

    Intraoperative Assessment of Resection Margins in Oral Cavity Cancer: This is the Way

    Published on: May 10, 2021

    4.2K
    Endoscopic Bilateral Nipple-sparing Mastectomy via a Single Axillary Incision with Immediate Pre-pectoral Implant-based Breast Reconstruction
    13:35

    Endoscopic Bilateral Nipple-sparing Mastectomy via a Single Axillary Incision with Immediate Pre-pectoral Implant-based Breast Reconstruction

    Published on: May 17, 2024

    3.6K

    Area of Science:

    • Surgical Operations Research
    • Health Informatics
    • Predictive Analytics in Healthcare

    Background:

    • Surgical practices face increasing workloads due to higher demand and case complexity.
    • Accurate prediction of surgical duration is crucial for managing complexity, optimizing operating room utilization, and enhancing surgeon satisfaction.

    Purpose of the Study:

    • To utilize historical surgical data to define complexity groups.
    • To improve surgical practice management through data-driven complexity grouping and duration prediction.

    Main Methods:

    • Leveraged expert opinion to initially define surgical complexity groups.
    • Employed a tree-based method on a large retrospective dataset to identify complexity groups using surgical features and duration.
    • Statistically compared expert-based and data-based groupings.

    Main Results:

    • A tree-based method effectively identified surgical complexity groups comparable to expert-defined groups.
    • The data-driven approach utilizes readily available surgical features for grouping.
    • This method enables data-driven, evidence-based surgical duration predictions.

    Conclusions:

    • Tree-based methods offer a viable alternative to expert opinion for classifying surgical complexity.
    • Available historical data can be leveraged to predict surgical duration and improve practice management.
    • This approach enhances operational efficiency and surgeon well-being in surgical settings.