Detection of unsafe action from laparoscopic cholecystectomy video

Ashwini Lahane, Anupam Joshi, Yelena Yesha, Adrian E. Park, Michael A. Grasso, Jimmy Lo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Wellness and healthcare are central to the lives of all people, young or old, healthy or ill, rich or poor. New computing and behavioral research can lead to transformative changes in the cost-effective delivery of quality and personalized healthcare. Also beyond the daily practice of healthcare and wellbeing, basic information technology research can provide the foundations for new directions in the clinical sciences via tools and analyses that identify subtle but important causal signals in the fusing of clinical, behavioral, environmental and genetic data. In this paper we describe a system that analyzes images from the laparoscopic videos. It indicates the possibility of an injury to the cystic artery by automatically detecting the proximity of the surgical instruments with respect to the cystic artery. The system uses machine learning algorithm to classify images and warn surgeons against probable unsafe actions.

Original languageEnglish (US)
Title of host publicationIHI'12 - Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Pages315-322
Number of pages8
DOIs
StatePublished - Mar 8 2012
Externally publishedYes
Event2nd ACM SIGHIT International Health Informatics Symposium, IHI'12 - Miami, FL, United States
Duration: Jan 28 2012Jan 30 2012

Publication series

NameIHI'12 - Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium

Other

Other2nd ACM SIGHIT International Health Informatics Symposium, IHI'12
CountryUnited States
CityMiami, FL
Period1/28/121/30/12

Keywords

  • Image processing
  • Laparoscopic cholecystectomy
  • Machine learning
  • Situation-awareness

ASJC Scopus subject areas

  • Health Informatics
  • Health Information Management

Fingerprint Dive into the research topics of 'Detection of unsafe action from laparoscopic cholecystectomy video'. Together they form a unique fingerprint.

Cite this