Objective laparoscopic skills assessments of surgical residents using Hidden Markov Models based on haptic information and tool/tissue interactions.
Identifieur interne : 007A39 ( Main/Merge ); précédent : 007A38; suivant : 007A40Objective laparoscopic skills assessments of surgical residents using Hidden Markov Models based on haptic information and tool/tissue interactions.
Auteurs : J. Rosen [États-Unis] ; M. Solazzo ; B. Hannaford ; M. SinananSource :
- Studies in health technology and informatics [ 0926-9630 ] ; 2001.
English descriptors
- KwdEn :
- MESH :
Abstract
Laparoscopic surgical skills evaluation of surgery residents is usually a subjective process, carried out in the operating room by senior surgeons. By its nature, this process is performed using fuzzy criteria. The objective of the current study was to develop and assess an objective laparoscopic surgical skill scale using Hidden Markov Models (HMM) based on haptic information, tool/tissue interactions and visual task decomposition.
PubMed: 11317782
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pubmed:11317782Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Objective laparoscopic skills assessments of surgical residents using Hidden Markov Models based on haptic information and tool/tissue interactions.</title>
<author><name sortKey="Rosen, J" sort="Rosen, J" uniqKey="Rosen J" first="J" last="Rosen">J. Rosen</name>
<affiliation wicri:level="4"><nlm:affiliation>Department of Electrical Engineering, Box 352500, University of Washington, Seattle, WA 98195, USA. rosen@rcs.ee.washington.edu</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Electrical Engineering, Box 352500, University of Washington, Seattle, WA 98195</wicri:regionArea>
<placeName><region type="state">Washington (État)</region>
</placeName>
<orgName type="university">Université de Washington</orgName>
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<author><name sortKey="Solazzo, M" sort="Solazzo, M" uniqKey="Solazzo M" first="M" last="Solazzo">M. Solazzo</name>
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<author><name sortKey="Hannaford, B" sort="Hannaford, B" uniqKey="Hannaford B" first="B" last="Hannaford">B. Hannaford</name>
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<author><name sortKey="Sinanan, M" sort="Sinanan, M" uniqKey="Sinanan M" first="M" last="Sinanan">M. Sinanan</name>
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<date when="2001">2001</date>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">Objective laparoscopic skills assessments of surgical residents using Hidden Markov Models based on haptic information and tool/tissue interactions.</title>
<author><name sortKey="Rosen, J" sort="Rosen, J" uniqKey="Rosen J" first="J" last="Rosen">J. Rosen</name>
<affiliation wicri:level="4"><nlm:affiliation>Department of Electrical Engineering, Box 352500, University of Washington, Seattle, WA 98195, USA. rosen@rcs.ee.washington.edu</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Electrical Engineering, Box 352500, University of Washington, Seattle, WA 98195</wicri:regionArea>
<placeName><region type="state">Washington (État)</region>
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<orgName type="university">Université de Washington</orgName>
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<author><name sortKey="Solazzo, M" sort="Solazzo, M" uniqKey="Solazzo M" first="M" last="Solazzo">M. Solazzo</name>
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<author><name sortKey="Hannaford, B" sort="Hannaford, B" uniqKey="Hannaford B" first="B" last="Hannaford">B. Hannaford</name>
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<author><name sortKey="Sinanan, M" sort="Sinanan, M" uniqKey="Sinanan M" first="M" last="Sinanan">M. Sinanan</name>
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<series><title level="j">Studies in health technology and informatics</title>
<idno type="ISSN">0926-9630</idno>
<imprint><date when="2001" type="published">2001</date>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animals</term>
<term>Cholecystectomy, Laparoscopic</term>
<term>Clinical Competence</term>
<term>Computer-Assisted Instruction</term>
<term>Curriculum</term>
<term>Feedback</term>
<term>General Surgery (education)</term>
<term>Humans</term>
<term>Internship and Residency</term>
<term>Laparoscopy</term>
<term>Markov Chains</term>
<term>Mathematical Computing</term>
<term>Touch</term>
<term>User-Computer Interface</term>
</keywords>
<keywords scheme="MESH" qualifier="education" xml:lang="en"><term>General Surgery</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Animals</term>
<term>Cholecystectomy, Laparoscopic</term>
<term>Clinical Competence</term>
<term>Computer-Assisted Instruction</term>
<term>Curriculum</term>
<term>Feedback</term>
<term>Humans</term>
<term>Internship and Residency</term>
<term>Laparoscopy</term>
<term>Markov Chains</term>
<term>Mathematical Computing</term>
<term>Touch</term>
<term>User-Computer Interface</term>
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<front><div type="abstract" xml:lang="en">Laparoscopic surgical skills evaluation of surgery residents is usually a subjective process, carried out in the operating room by senior surgeons. By its nature, this process is performed using fuzzy criteria. The objective of the current study was to develop and assess an objective laparoscopic surgical skill scale using Hidden Markov Models (HMM) based on haptic information, tool/tissue interactions and visual task decomposition.</div>
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