{"id":"https://openalex.org/W2790526632","doi":"https://doi.org/10.1117/12.2293911","title":"Surgical skill level assessment using automatic feature extraction methods","display_name":"Surgical skill level assessment using automatic feature extraction methods","publication_year":2018,"publication_date":"2018-03-13","ids":{"openalex":"https://openalex.org/W2790526632","doi":"https://doi.org/10.1117/12.2293911","mag":"2790526632"},"language":"en","primary_location":{"id":"doi:10.1117/12.2293911","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2293911","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008841371","display_name":"Robert V. Rege","orcid":"https://orcid.org/0000-0002-6864-713X"},"institutions":[{"id":"https://openalex.org/I867280407","display_name":"The University of Texas Southwestern Medical Center","ror":"https://ror.org/05byvp690","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I867280407"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert Rege","raw_affiliation_strings":["The Univ. of Texas Southwestern Medical Ctr. at Dallas (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Texas Southwestern Medical Ctr. at Dallas (United States)","institution_ids":["https://openalex.org/I867280407"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024579735","display_name":"Ann Majewicz Fey","orcid":"https://orcid.org/0000-0002-1802-6730"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]},{"id":"https://openalex.org/I867280407","display_name":"The University of Texas Southwestern Medical Center","ror":"https://ror.org/05byvp690","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I867280407"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ann Majewicz","raw_affiliation_strings":["The Univ. of Texas Southwestern Medical Ctr. at Dallas (United States)","The Univ. of Texas at Dallas (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Texas Southwestern Medical Ctr. at Dallas (United States)","institution_ids":["https://openalex.org/I867280407"]},{"raw_affiliation_string":"The Univ. of Texas at Dallas (United States)","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018482281","display_name":"Marzieh Ershad","orcid":"https://orcid.org/0000-0002-0579-1409"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marzieh Ershad","raw_affiliation_strings":["The Univ. of Texas at Dallas (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Texas at Dallas (United States)","institution_ids":["https://openalex.org/I162577319"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2095,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.89938943,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"XX","issue":null,"first_page":"94","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10916","display_name":"Surgical Simulation and Training","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10916","display_name":"Surgical Simulation and Training","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11984","display_name":"Anatomy and Medical Technology","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10888","display_name":"Augmented Reality Applications","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6866210699081421},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6719174385070801},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4932233691215515},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4639342427253723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4515116810798645},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34517359733581543}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6866210699081421},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6719174385070801},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4932233691215515},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4639342427253723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4515116810798645},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34517359733581543},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2293911","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2293911","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W134203394","https://openalex.org/W1575406964","https://openalex.org/W1974872502","https://openalex.org/W1989503038","https://openalex.org/W2004046335","https://openalex.org/W2030200456","https://openalex.org/W2072503051","https://openalex.org/W2082820542","https://openalex.org/W2106981652","https://openalex.org/W2116852786","https://openalex.org/W2235750012","https://openalex.org/W2490534326","https://openalex.org/W2524504656","https://openalex.org/W4231069803","https://openalex.org/W4251361636","https://openalex.org/W6643977344","https://openalex.org/W6658046429"],"related_works":["https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2123759770","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640"],"abstract_inverted_index":{"Objective":[0],"and":[1,27,53,72,106,183,208],"automatic":[2,71,91],"evaluation":[3,32,74],"of":[4,12,31,50,75,130,143,157,176,194,238,243],"surgical":[5,13,17,76],"skill":[6,153],"is":[7],"important":[8],"for":[9,70,140],"the":[10,46,51,58,62,128,131,141,145,169,177,186,192,215],"design":[11],"simulators":[14],"used":[15,212],"in":[16,61,79,116,136,185,225,240],"robotics":[18],"training.":[19],"Extensive":[20],"research":[21],"has":[22],"been":[23],"done":[24],"to":[25,45,119,163,213],"identify":[26,214],"evaluate":[28],"a":[29,68],"variety":[30],"metrics":[33,41],"(e.g.,":[34],"path":[35],"length,":[36],"completion":[37,49],"time);":[38],"however,":[39],"these":[40],"are":[42],"only":[43],"provided":[44],"user":[47,152],"after":[48],"task,":[52],"may":[54],"not":[55],"fully":[56],"use":[57],"underlying":[59],"information":[60],"movement":[63],"data.":[64],"This":[65],"study":[66,127],"proposes":[67],"method":[69,135],"objective":[73],"expertise":[77,123,159,233],"levels,":[78],"short":[80],"time":[81,138,147,241],"intervals,":[82,139],"during":[83],"task":[84],"performance.":[85],"We":[86,125],"first":[87],"compare":[88],"three":[89],"different":[90,122,137,158],"feature":[92,133,217],"extraction":[93,134,218],"methods":[94],"including:":[95],"(1)":[96],"principle":[97],"component":[98,103],"analysis":[99,104,110],"(PCA),":[100],"(2)":[101],"independent":[102],"(ICA),":[105],"(3)":[107],"linear":[108],"discriminant":[109],"(LDA)":[111],"on":[112,168],"low-level":[113],"position":[114,175,193],"data,":[115],"their":[117],"ability":[118],"distinguish":[120],"among":[121],"levels.":[124],"then":[126],"performance":[129],"best":[132,216],"purpose":[142],"finding":[144],"minimal":[146],"frame":[148],"that":[149,223],"accurately":[150],"predicts":[151],"level.":[154],"14":[155],"subjects":[156],"levels":[160,234],"were":[161,197,211],"recruited":[162],"perform":[164],"two":[165],"simulated":[166],"tasks":[167],"da":[170],"Vinci":[171],"training":[172],"simulator.":[173],"The":[174,220],"subjects\u2019":[178],"arm":[179],"joints":[180],"(shoulder,":[181],"elbow":[182],"wrist)":[184],"dominant":[187],"hand,":[188],"as":[189,191],"well":[190],"both":[195],"hands,":[196],"recorded.":[198],"Four":[199],"classifiers":[200],"(Naive":[201],"Bayes,":[202],"support":[203,228],"vector":[204,229],"machine,":[205],"nearest":[206],"neighbor,":[207],"Decision":[209],"Tree)":[210],"method.":[219],"results":[221],"indicate":[222],"PCA":[224],"combination":[226],"with":[227,235],"machine":[230],"can":[231],"classify":[232],"an":[236],"accuracy":[237],"98%":[239],"frames":[242],"0.25":[244],"seconds.":[245]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
