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Computer Vision in the Operating Room: Opportunities and Caveats.
Kennedy-Metz, Lauren R; Mascagni, Pietro; Torralba, Antonio; Dias, Roger D; Perona, Pietro; Shah, Julie A; Padoy, Nicolas; Zenati, Marco A.
Afiliación
  • Kennedy-Metz LR; Medical Robotics and Computer-Assisted Surgery (MRCAS) Laboratory, affiliated with Harvard Medical School in Boston, MA 02115 and the VA Boston Healthcare System in West Roxbury, MA 02132.
  • Mascagni P; ICube at the University of Strasbourg, CNRS, IHU Strasbourg, France and Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
  • Torralba A; Computer Science and Artificial Intelligence Laboratory (CSAIL) at Massachusetts Institute of Technology in Cambridge, MA 02139.
  • Dias RD; Harvard Medical School in Boston, MA 02115 and STRATUS Center for Medical Simulation in the Department of Emergency Medicine at Brigham and Women's Hospital in Boston, MA 02115.
  • Perona P; Computer Vision Laboratory at CalTech and Amazon Inc. in Pasadena, CA 91125.
  • Shah JA; Computer Science and Artificial Intelligence Laboratory (CSAIL) at Massachusetts Institute of Technology in Cambridge, MA 02139.
  • Padoy N; ICube at the University of Strasbourg, CNRS, IHU Strasbourg, France.
  • Zenati MA; Medical Robotics and Computer-Assisted Surgery (MRCAS) Laboratory, affiliated with Harvard Medical School in Boston, MA 02115 and the VA Boston Healthcare System in West Roxbury, MA 02132.
IEEE Trans Med Robot Bionics ; 3(1): 2-10, 2021 Feb.
Article en En | MEDLINE | ID: mdl-33644703
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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: IEEE Trans Med Robot Bionics Año: 2021 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: IEEE Trans Med Robot Bionics Año: 2021 Tipo del documento: Article