Literature DB >> 27778059

[Intelligent operating room suite : From passive medical devices to the self-thinking cognitive surgical assistant].

H G Kenngott1, M Wagner1, A A Preukschas1, B P Müller-Stich2.   

Abstract

Modern operating room (OR) suites are mostly digitally connected but until now the primary focus was on the presentation, transfer and distribution of images. Device information and processes within the operating theaters are barely considered. Cognitive assistance systems have triggered a fundamental rethinking in the automotive industry as well as in logistics. In principle, tasks in the OR, some of which are highly repetitive, also have great potential to be supported by automated cognitive assistance via a self-thinking system. This includes the coordination of the entire workflow in the perioperative process in both the operating theater and the whole hospital. With corresponding data from hospital information systems, medical devices and appropriate models of the surgical process, intelligent systems could optimize the workflow in the operating theater in the near future and support the surgeon. Preliminary results on the use of device information and automatically controlled OR suites are already available. Such systems include, for example the guidance of laparoscopic camera systems. Nevertheless, cognitive assistance systems that make use of knowledge about patients, processes and other pieces of information to improve surgical treatment are not yet available in the clinical routine but are urgently needed in order to automatically assist the surgeon in situation-related activities and thus substantially improve patient care.

Entities:  

Keywords:  Apparatus and instruments; Automatic data processing; Laparoscopy; Medical device; Robotic surgical procedures; Surgery 4.0

Mesh:

Year:  2016        PMID: 27778059     DOI: 10.1007/s00104-016-0308-9

Source DB:  PubMed          Journal:  Chirurg        ISSN: 0009-4722            Impact factor:   0.955


  12 in total

1.  Upgrade of an optical navigation system with a permanent electromagnetic position control: a first step towards "navigated control" for liver surgery.

Authors:  Siegfried Beller; Sebastian Eulenstein; Thomas Lange; Michael Hünerbein; Peter M Schlag
Journal:  J Hepatobiliary Pancreat Surg       Date:  2009-01-28

2.  Real-time image guidance in laparoscopic liver surgery: first clinical experience with a guidance system based on intraoperative CT imaging.

Authors:  Hannes G Kenngott; Martin Wagner; Matthias Gondan; Felix Nickel; Marco Nolden; Andreas Fetzer; Jürgen Weitz; Lars Fischer; Stefanie Speidel; Hans-Peter Meinzer; Dittmar Böckler; Markus W Büchler; Beat P Müller-Stich
Journal:  Surg Endosc       Date:  2013-11-01       Impact factor: 4.584

3.  LapOntoSPM: an ontology for laparoscopic surgeries and its application to surgical phase recognition.

Authors:  Darko Katić; Chantal Julliard; Anna-Laura Wekerle; Hannes Kenngott; Beat Peter Müller-Stich; Rüdiger Dillmann; Stefanie Speidel; Pierre Jannin; Bernard Gibaud
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-06-11       Impact factor: 2.924

4.  Prediction of surgical work steps in neurosurgery.

Authors:  P Liebmann; T Neumuth
Journal:  Biomed Tech (Berl)       Date:  2012-09-06       Impact factor: 1.411

5.  Reliability of sensor-based real-time workflow recognition in laparoscopic cholecystectomy.

Authors:  Michael Kranzfelder; Armin Schneider; Adam Fiolka; Sebastian Koller; Silvano Reiser; Thomas Vogel; Dirk Wilhelm; Hubertus Feussner
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-02-21       Impact factor: 2.924

Review 6.  IBM Watson: How Cognitive Computing Can Be Applied to Big Data Challenges in Life Sciences Research.

Authors:  Ying Chen; J D Elenee Argentinis; Griff Weber
Journal:  Clin Ther       Date:  2016-04-21       Impact factor: 3.393

7.  Supervised autonomous robotic soft tissue surgery.

Authors:  Azad Shademan; Ryan S Decker; Justin D Opfermann; Simon Leonard; Axel Krieger; Peter C W Kim
Journal:  Sci Transl Med       Date:  2016-05-04       Impact factor: 17.956

Review 8.  Computer-assisted abdominal surgery: new technologies.

Authors:  H G Kenngott; M Wagner; F Nickel; A L Wekerle; A Preukschas; M Apitz; T Schulte; R Rempel; P Mietkowski; F Wagner; A Termer; Beat P Müller-Stich
Journal:  Langenbecks Arch Surg       Date:  2015-02-21       Impact factor: 3.445

9.  [Clinical experience with navigation functions for temporal bone surgery : interim result after 40 patients].

Authors:  G Strauß; S Schaller; S Nowatschin; T Wenger; M Hofer; J Meixensberger; A Dietz; T Lüth
Journal:  HNO       Date:  2012-12       Impact factor: 1.284

Review 10.  Neuronavigation in the surgical management of brain tumors: current and future trends.

Authors:  Daniel A Orringer; Alexandra Golby; Ferenc Jolesz
Journal:  Expert Rev Med Devices       Date:  2012-09       Impact factor: 3.166

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  5 in total

1.  Sensor-based machine learning for workflow detection and as key to detect expert level in laparoscopic suturing and knot-tying.

Authors:  Karl-Friedrich Kowalewski; Carly R Garrow; Mona W Schmidt; Laura Benner; Beat P Müller-Stich; Felix Nickel
Journal:  Surg Endosc       Date:  2019-02-21       Impact factor: 4.584

2.  [Comprehensive system integration and networking in operating rooms].

Authors:  H Feußner; D Ostler; N Kohn; T Vogel; D Wilhelm; S Koller; M Kranzfelder
Journal:  Chirurg       Date:  2016-12       Impact factor: 0.955

3.  Surgical data science: The new knowledge domain.

Authors:  S Swaroop Vedula; Gregory D Hager
Journal:  Innov Surg Sci       Date:  2017-04-20

Review 4.  Impact of Design on Medical Device Safety.

Authors:  Teodora Miclăuş; Vasiliki Valla; Angeliki Koukoura; Anne Ahlmann Nielsen; Benedicte Dahlerup; Georgios-Ioannis Tsianos; Efstathios Vassiliadis
Journal:  Ther Innov Regul Sci       Date:  2019-12-09       Impact factor: 1.778

5.  Role of Intelligent Management Systems in Surgical Punctuality and Quality of Care.

Authors:  Gendi Li; Shenhui Huang
Journal:  Comput Intell Neurosci       Date:  2022-10-11
  5 in total

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