Computer vision in surgery: from potential to clinical value

Hundreds of millions of operations are performed worldwide each year, and the rising uptake in minimally invasive surgery has enabled fiber optic cameras and robots to become both important tools to conduct surgery and sensors from which to capture information about surgery. Computer vision (CV), th...

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Vydané v:NPJ digital medicine Ročník 5; číslo 1; s. 163 - 9
Hlavní autori: Mascagni, Pietro, Alapatt, Deepak, Sestini, Luca, Altieri, Maria S., Madani, Amin, Watanabe, Yusuke, Alseidi, Adnan, Redan, Jay A., Alfieri, Sergio, Costamagna, Guido, Boškoski, Ivo, Padoy, Nicolas, Hashimoto, Daniel A.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London Springer Science and Business Media LLC 28.10.2022
Nature Publishing Group UK
Nature Publishing Group
Nature Portfolio
Predmet:
692/308/2778
692/308/575
Algorithms
Biomedicine
Biotechnology
Clinical decision making
Computer applications to medicine. Medical informatics
Computer vision
Fiber optics
Laparoscopy
Medicine
Medicine & Public Health
Minimally invasive surgery
N/A
Patient safety
R858-859.7
Review
Review Article
Robotic surgery
Surgery
ISSN:2398-6352, 2398-6352
On-line prístup:Získať plný text
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Abstract Hundreds of millions of operations are performed worldwide each year, and the rising uptake in minimally invasive surgery has enabled fiber optic cameras and robots to become both important tools to conduct surgery and sensors from which to capture information about surgery. Computer vision (CV), the application of algorithms to analyze and interpret visual data, has become a critical technology through which to study the intraoperative phase of care with the goals of augmenting surgeons’ decision-making processes, supporting safer surgery, and expanding access to surgical care. While much work has been performed on potential use cases, there are currently no CV tools widely used for diagnostic or therapeutic applications in surgery. Using laparoscopic cholecystectomy as an example, we reviewed current CV techniques that have been applied to minimally invasive surgery and their clinical applications. Finally, we discuss the challenges and obstacles that remain to be overcome for broader implementation and adoption of CV in surgery.
AbstractList Hundreds of millions of operations are performed worldwide each year, and the rising uptake in minimally invasive surgery has enabled fiber optic cameras and robots to become both important tools to conduct surgery and sensors from which to capture information about surgery. Computer vision (CV), the application of algorithms to analyze and interpret visual data, has become a critical technology through which to study the intraoperative phase of care with the goals of augmenting surgeons’ decision-making processes, supporting safer surgery, and expanding access to surgical care. While much work has been performed on potential use cases, there are currently no CV tools widely used for diagnostic or therapeutic applications in surgery. Using laparoscopic cholecystectomy as an example, we reviewed current CV techniques that have been applied to minimally invasive surgery and their clinical applications. Finally, we discuss the challenges and obstacles that remain to be overcome for broader implementation and adoption of CV in surgery.
Abstract Hundreds of millions of operations are performed worldwide each year, and the rising uptake in minimally invasive surgery has enabled fiber optic cameras and robots to become both important tools to conduct surgery and sensors from which to capture information about surgery. Computer vision (CV), the application of algorithms to analyze and interpret visual data, has become a critical technology through which to study the intraoperative phase of care with the goals of augmenting surgeons’ decision-making processes, supporting safer surgery, and expanding access to surgical care. While much work has been performed on potential use cases, there are currently no CV tools widely used for diagnostic or therapeutic applications in surgery. Using laparoscopic cholecystectomy as an example, we reviewed current CV techniques that have been applied to minimally invasive surgery and their clinical applications. Finally, we discuss the challenges and obstacles that remain to be overcome for broader implementation and adoption of CV in surgery.
Hundreds of millions of operations are performed worldwide each year, and the rising uptake in minimally invasive surgery has enabled fiber optic cameras and robots to become both important tools to conduct surgery and sensors from which to capture information about surgery. Computer vision (CV), the application of algorithms to analyze and interpret visual data, has become a critical technology through which to study the intraoperative phase of care with the goals of augmenting surgeons' decision-making processes, supporting safer surgery, and expanding access to surgical care. While much work has been performed on potential use cases, there are currently no CV tools widely used for diagnostic or therapeutic applications in surgery. Using laparoscopic cholecystectomy as an example, we reviewed current CV techniques that have been applied to minimally invasive surgery and their clinical applications. Finally, we discuss the challenges and obstacles that remain to be overcome for broader implementation and adoption of CV in surgery.Hundreds of millions of operations are performed worldwide each year, and the rising uptake in minimally invasive surgery has enabled fiber optic cameras and robots to become both important tools to conduct surgery and sensors from which to capture information about surgery. Computer vision (CV), the application of algorithms to analyze and interpret visual data, has become a critical technology through which to study the intraoperative phase of care with the goals of augmenting surgeons' decision-making processes, supporting safer surgery, and expanding access to surgical care. While much work has been performed on potential use cases, there are currently no CV tools widely used for diagnostic or therapeutic applications in surgery. Using laparoscopic cholecystectomy as an example, we reviewed current CV techniques that have been applied to minimally invasive surgery and their clinical applications. Finally, we discuss the challenges and obstacles that remain to be overcome for broader implementation and adoption of CV in surgery.
ArticleNumber 163
Author Amin Madani
Maria S. Altieri
Deepak Alapatt
Sergio Alfieri
Ivo Boškoski
Daniel A. Hashimoto
Pietro Mascagni
Nicolas Padoy
Jay A. Redan
Yusuke Watanabe
Adnan Alseidi
Guido Costamagna
Luca Sestini
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  organization: Gemelli Hospital, Catholic University of the Sacred Heart, IHU-Strasbourg, Institute of Image-Guided Surgery, Global Surgical Artificial Intelligence Collaborative
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  organization: Global Surgical Artificial Intelligence Collaborative, Department of Surgery, University of Hokkaido
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  surname: Alseidi
  fullname: Alseidi, Adnan
  organization: Global Surgical Artificial Intelligence Collaborative, Department of Surgery, University of California San Francisco
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  givenname: Jay A.
  surname: Redan
  fullname: Redan, Jay A.
  organization: Department of Surgery, AdventHealth-Celebration Health
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  organization: Fondazione Policlinico Universitario A. Gemelli IRCCS
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  surname: Boškoski
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  fullname: Padoy, Nicolas
  organization: IHU-Strasbourg, Institute of Image-Guided Surgery, ICube, University of Strasbourg, CNRS
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  givenname: Daniel A.
  orcidid: 0000-0003-4725-3104
  surname: Hashimoto
  fullname: Hashimoto, Daniel A.
  organization: Global Surgical Artificial Intelligence Collaborative, Department of Surgery, University of Pennsylvania Perelman School of Medicine
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Snippet Hundreds of millions of operations are performed worldwide each year, and the rising uptake in minimally invasive surgery has enabled fiber optic cameras and...
Abstract Hundreds of millions of operations are performed worldwide each year, and the rising uptake in minimally invasive surgery has enabled fiber optic...
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SubjectTerms 692/308/2778
692/308/575
Algorithms
Biomedicine
Biotechnology
Clinical decision making
Computer applications to medicine. Medical informatics
Computer vision
Fiber optics
Laparoscopy
Medicine
Medicine & Public Health
Minimally invasive surgery
N/A
Patient safety
R858-859.7
Review
Review Article
Robotic surgery
Surgery
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