Literature DB >> 34245578

Surgical data science and artificial intelligence for surgical education.

Thomas M Ward1, Pietro Mascagni2,3,4, Amin Madani5, Nicolas Padoy2,4, Silvana Perretta4,6, Daniel A Hashimoto1.   

Abstract

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.
© 2021 Wiley Periodicals LLC.

Entities:  

Keywords:  artificial intelligence; computer vision systems; data science; deep learning; surgical education

Year:  2021        PMID： 34245578     DOI： 10.1002/jso.26496

Source DB:  PubMed          Journal:  J Surg Oncol        ISSN： 0022-4790            Impact factor:   3.454


  6 in total

1.  Multicentric validation of EndoDigest: a computer vision platform for video documentation of the critical view of safety in laparoscopic cholecystectomy.

Authors:  Pietro Mascagni; Deepak Alapatt; Giovanni Guglielmo Laracca; Ludovica Guerriero; Andrea Spota; Claudio Fiorillo; Armine Vardazaryan; Giuseppe Quero; Sergio Alfieri; Ludovica Baldari; Elisa Cassinotti; Luigi Boni; Diego Cuccurullo; Guido Costamagna; Bernard Dallemagne; Nicolas Padoy
Journal:  Surg Endosc       Date:  2022-02-16       Impact factor: 4.584

2.  Artificial intelligence prediction of cholecystectomy operative course from automated identification of gallbladder inflammation.

Authors:  Thomas M Ward; Daniel A Hashimoto; Yutong Ban; Guy Rosman; Ozanan R Meireles
Journal:  Surg Endosc       Date:  2022-01-14       Impact factor: 3.453

Review 3.  Artificial intelligence assisted display in thoracic surgery: development and possibilities.

Authors:  Zhuxing Chen; Yudong Zhang; Zeping Yan; Junguo Dong; Weipeng Cai; Yongfu Ma; Jipeng Jiang; Keyao Dai; Hengrui Liang; Jianxing He
Journal:  J Thorac Dis       Date:  2021-12       Impact factor: 3.005

4.  Utility of the Simulated Outcomes Following Carotid Artery Laceration Video Data Set for Machine Learning Applications.

Authors:  Guillaume Kugener; Dhiraj J Pangal; Tyler Cardinal; Casey Collet; Elizabeth Lechtholz-Zey; Sasha Lasky; Shivani Sundaram; Nicholas Markarian; Yichao Zhu; Arman Roshannai; Aditya Sinha; X Y Han; Vardan Papyan; Andrew Hung; Animashree Anandkumar; Bozena Wrobel; Gabriel Zada; Daniel A Donoho
Journal:  JAMA Netw Open       Date:  2022-03-01

Review 5.  Artificial Intelligence in Colorectal Cancer Surgery: Present and Future Perspectives.

Authors:  Giuseppe Quero; Pietro Mascagni; Fiona R Kolbinger; Claudio Fiorillo; Davide De Sio; Fabio Longo; Carlo Alberto Schena; Vito Laterza; Fausto Rosa; Roberta Menghi; Valerio Papa; Vincenzo Tondolo; Caterina Cina; Marius Distler; Juergen Weitz; Stefanie Speidel; Nicolas Padoy; Sergio Alfieri
Journal:  Cancers (Basel)       Date:  2022-08-04       Impact factor: 6.575

6.  Developing artificial intelligence models for medical student suturing and knot-tying video-based assessment and coaching.

Authors:  Madhuri B Nagaraj; Babak Namazi; Ganesh Sankaranarayanan; Daniel J Scott
Journal:  Surg Endosc       Date:  2022-08-18       Impact factor: 3.453
  6 in total

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