Surgical data science and artificial intelligence for surgical education

被引：49
|
作者：
Ward, Thomas M. [1 ]
Mascagni, Pietro [2 ,3 ,4 ]
Madani, Amin [5 ]
Padoy, Nicolas [2 ,4 ]
Perretta, Silvana [4 ,6 ]
Hashimoto, Daniel A. [1 ]
机构：
[1] Massachusetts Gen Hosp, Dept Surg, Surg AI & Innovat Lab, 15 Parkman St,WAC460, Boston, MA 02114 USA
[2] Univ Strasbourg, ICube, CNRS, Strasbourg, France
[3] Fdn Policlin A Gemelli IRCCS, Rome, Italy
[4] IHU Strasbourg, Strasbourg, France
[5] Univ Hlth Network, Dept Surg, Toronto, ON, Canada
[6] IRCAD, Strasbourg, France
来源：
JOURNAL OF SURGICAL ONCOLOGY | 2021年 / 124卷 / 02期
关键词：
artificial intelligence; computer vision systems; data science; deep learning; surgical education; ADVERSE EVENTS; CRITICAL-VIEW; RECOGNITION; SAFETY; CHOLECYSTECTOMY; COMPETENCES; PREVENTION;
D O I：
10.1002/jso.26496
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
Surgical data science (SDS) aims to improve the quality of interventional healthcare and its value through the capture, organization, analysis, and modeling of procedural data. As data capture has increased and artificial intelligence (AI) has advanced, SDS can help to unlock augmented and automated coaching, feedback, assessment, and decision support in surgery. We review major concepts in SDS and AI as applied to surgical education and surgical oncology.
引用
收藏
页码：221 / 230
页数：10
相关论文
共 50 条
  • [21] Artificial intelligence in surgical education: Transforming training for the next generation of surgeons
    Lai, Paul B. S.
    SURGICAL PRACTICE, 2025, 29 (01) : 3 - 5
  • [22] The potential of artificial intelligence as an equalizer of gender disparity in surgical training and education
    Mari, Valentina
    Spolverato, Gaya
    Ferrari, Linda
    ARTIFICIAL INTELLIGENCE SURGERY, 2022, 2 (03): : 122 - 131
  • [23] The era of artificial intelligence and virtual reality: transforming surgical education in ophthalmology
    Bakshi, Shaunak K.
    Lin, Shawn R.
    Ting, Daniel Shu Wei
    Chiang, Michael F.
    Chodosh, James
    BRITISH JOURNAL OF OPHTHALMOLOGY, 2021, 105 (10) : 1325 - 1328
  • [24] Practical Guide to Machine Learning and Artificial Intelligence in Surgical Education Research
    Hashimoto, Daniel A.
    Varas, Julian
    Schwartz, Todd A.
    JAMA SURGERY, 2024, 159 (04) : 455 - 456
  • [25] A narrative review of transforming surgical education with artificial intelligence: opportunities and challenges
    Valente, Denis Souto
    Brasil, Luis Josino
    Spinelli, Leandro de Freitas
    Vilela, Manuel Augusto Pereira
    Rhoden, Ernani Luis
    AME SURGICAL JOURNAL, 2025, 5
  • [26] SAGES surgical data science task force: enhancing surgical innovation, education and quality improvement through data science
    Madani, Amin
    Liu, Yao
    Pryor, Aurora
    Altieri, Maria
    Hashimoto, Daniel A.
    Feldman, Liane
    SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES, 2024, 38 (07): : 3489 - 3493
  • [27] CORR® Curriculum-Orthopaedic Education: Artificial Intelligence and Surgical Assessment
    Dougherty, Paul J.
    Andreatta, Pamela
    CLINICAL ORTHOPAEDICS AND RELATED RESEARCH, 2024, 482 (10) : 1760 - 1762
  • [28] Surgical Clinics, Surgical Decision Making, Evidence, and Artificial Intelligence
    Martin, Ronald F.
    SURGICAL CLINICS OF NORTH AMERICA, 2023, 103 (02)
  • [29] The Future of Artificial Intelligence in Surgical Care
    Birkmeyer, John D.
    ANNALS OF SURGERY, 2020, 272 (03) : 529 - 529
  • [30] Equity and Artificial Intelligence in Surgical Care
    Johnson-Mann, Crystal N.
    Loftus, Tyler J.
    Bihorac, Azra
    JAMA SURGERY, 2021, 156 (06) : 509 - 510
12345