Literature DB >> 33644703

Computer Vision in the Operating Room: Opportunities and Caveats.

Lauren R Kennedy-Metz1, Pietro Mascagni2, Antonio Torralba3, Roger D Dias4, Pietro Perona5, Julie A Shah3, Nicolas Padoy6, Marco A Zenati1.   

Abstract

Effectiveness of computer vision techniques has been demonstrated through a number of applications, both within and outside healthcare. The operating room environment specifically is a setting with rich data sources compatible with computational approaches and high potential for direct patient benefit. The aim of this review is to summarize major topics in computer vision for surgical domains. The major capabilities of computer vision are described as an aid to surgical teams to improve performance and contribute to enhanced patient safety. Literature was identified through leading experts in the fields of surgery, computational analysis and modeling in medicine, and computer vision in healthcare. The literature supports the application of computer vision principles to surgery. Potential applications within surgery include operating room vigilance, endoscopic vigilance, and individual and team-wide behavioral analysis. To advance the field, we recommend collecting and publishing carefully annotated datasets. Doing so will enable the surgery community to collectively define well-specified common objectives for automated systems, spur academic research, mobilize industry, and provide benchmarks with which we can track progress. Leveraging computer vision approaches through interdisciplinary collaboration and advanced approaches to data acquisition, modeling, interpretation, and integration promises a powerful impact on patient safety, public health, and financial costs.

Entities:  

Keywords:  Artificial intelligence; computer vision; patient safety; robotics; surgery; vigilance

Year:  2020        PMID: 33644703      PMCID: PMC7908934          DOI: 10.1109/tmrb.2020.3040002

Source DB:  PubMed          Journal:  IEEE Trans Med Robot Bionics        ISSN: 2576-3202


  56 in total

Review 1.  Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery.

Authors:  Shane O'Sullivan; Nathalie Nevejans; Colin Allen; Andrew Blyth; Simon Leonard; Ugo Pagallo; Katharina Holzinger; Andreas Holzinger; Mohammed Imran Sajid; Hutan Ashrafian
Journal:  Int J Med Robot       Date:  2019-02       Impact factor: 2.547

Review 2.  Machine and deep learning for workflow recognition during surgery.

Authors:  Nicolas Padoy
Journal:  Minim Invasive Ther Allied Technol       Date:  2019-03-08       Impact factor: 2.442

Review 3.  Artificial Intelligence and the Future of Surgical Robotics.

Authors:  Sandip Panesar; Yvonne Cagle; Divya Chander; Jose Morey; Juan Fernandez-Miranda; Michel Kliot
Journal:  Ann Surg       Date:  2019-08       Impact factor: 12.969

4.  Gaze-based Technology as a Tool for Surgical Skills Assessment and Training in Urology.

Authors:  Carolina Diaz-Piedra; Jose M Sanchez-Carrion; Héctor Rieiro; Leandro L Di Stasi
Journal:  Urology       Date:  2017-06-27       Impact factor: 2.649

Review 5.  New intraoperative imaging technologies: Innovating the surgeon's eye toward surgical precision.

Authors:  Pietro Mascagni; Fabio Longo; Manuel Barberio; Barbara Seeliger; Vincent Agnus; Paola Saccomandi; Alexandre Hostettler; Jacques Marescaux; Michele Diana
Journal:  J Surg Oncol       Date:  2018-08-04       Impact factor: 3.454

6.  Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy: a multicentre, case-control, diagnostic study.

Authors:  Huiyan Luo; Guoliang Xu; Chaofeng Li; Longjun He; Linna Luo; Zixian Wang; Bingzhong Jing; Yishu Deng; Ying Jin; Yin Li; Bin Li; Wencheng Tan; Caisheng He; Sharvesh Raj Seeruttun; Qiubao Wu; Jun Huang; De-Wang Huang; Bin Chen; Shao-Bin Lin; Qin-Ming Chen; Chu-Ming Yuan; Hai-Xin Chen; Heng-Ying Pu; Feng Zhou; Yun He; Rui-Hua Xu
Journal:  Lancet Oncol       Date:  2019-10-04       Impact factor: 41.316

7.  Does awareness of being video recorded affect doctors' consultation behaviour?

Authors:  M Pringle; C Stewart-Evans
Journal:  Br J Gen Pract       Date:  1990-11       Impact factor: 5.386

8.  An improved image analysis method for cell counting lends credibility to the prognostic significance of T cells in colorectal cancer.

Authors:  Juha P Väyrynen; Juha O Vornanen; Sara Sajanti; Jan P Böhm; Anne Tuomisto; Markus J Mäkinen
Journal:  Virchows Arch       Date:  2012-04-24       Impact factor: 4.064

9.  Formalizing video documentation of the Critical View of Safety in laparoscopic cholecystectomy: a step towards artificial intelligence assistance to improve surgical safety.

Authors:  Pietro Mascagni; Claudio Fiorillo; Takeshi Urade; Taha Emre; Tong Yu; Taiga Wakabayashi; Emanuele Felli; Silvana Perretta; Lee Swanstrom; Didier Mutter; Jacques Marescaux; Patrick Pessaux; Guido Costamagna; Nicolas Padoy; Bernard Dallemagne
Journal:  Surg Endosc       Date:  2019-10-03       Impact factor: 4.584

10.  Clinical-grade computational pathology using weakly supervised deep learning on whole slide images.

Authors:  Gabriele Campanella; Matthew G Hanna; Luke Geneslaw; Allen Miraflor; Vitor Werneck Krauss Silva; Klaus J Busam; Edi Brogi; Victor E Reuter; David S Klimstra; Thomas J Fuchs
Journal:  Nat Med       Date:  2019-07-15       Impact factor: 53.440

View more
  6 in total

1.  Assessing Team Situational Awareness in the Operating Room via Computer Vision.

Authors:  Roger D Dias; Lauren R Kennedy-Metz; Steven J Yule; Matthew Gombolay; Marco A Zenati
Journal:  IEEE Conf Cogn Comput Asp Situat Manag       Date:  2022-07-22

2.  Towards an AI Coach to Infer Team Mental Model Alignment in Healthcare.

Authors:  Sangwon Seo; Lauren R Kennedy-Metz; Marco A Zenati; Julie A Shah; Roger D Dias; Vaibhav V Unhelkar
Journal:  IEEE Conf Cogn Comput Asp Situat Manag       Date:  2021-07-09

3.  Executive summary of the artificial intelligence in surgery series.

Authors:  Tyler J Loftus; Alexander P J Vlaar; Andrew J Hung; Azra Bihorac; Bradley M Dennis; Catherine Juillard; Daniel A Hashimoto; Haytham M A Kaafarani; Patrick J Tighe; Paul C Kuo; Shuhei Miyashita; Steven D Wexner; Kevin E Behrns
Journal:  Surgery       Date:  2021-11-21       Impact factor: 4.348

Review 4.  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

Review 5.  The future of Cardiothoracic surgery in Artificial intelligence.

Authors:  Hassan Mumtaz; Muhammad Saqib; Farrukh Ansar; Durafshan Zargar; Madiha Hameed; Mohammad Hasan; Pakiza Muskan
Journal:  Ann Med Surg (Lond)       Date:  2022-07-31

6.  Cloud Based AI-Driven Video Analytics (CAVs) in Laparoscopic Surgery: A Step Closer to a Virtual Portfolio.

Authors:  Ahmed Gendia
Journal:  Cureus       Date:  2022-09-12
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.