{"id":"https://openalex.org/W4220993769","doi":"https://doi.org/10.1117/12.2612760","title":"AI-based analysis of radiologist\u2019s eye movements for fatigue estimation: a pilot study on chest X-rays","display_name":"AI-based analysis of radiologist\u2019s eye movements for fatigue estimation: a pilot study on chest X-rays","publication_year":2022,"publication_date":"2022-03-31","ids":{"openalex":"https://openalex.org/W4220993769","doi":"https://doi.org/10.1117/12.2612760"},"language":"en","primary_location":{"id":"doi:10.1117/12.2612760","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2612760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment","raw_type":"proceedings-article"},"type":"article","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/A5053128426","display_name":"Ilya Pershin","orcid":"https://orcid.org/0000-0001-7052-2355"},"institutions":[{"id":"https://openalex.org/I4210116741","display_name":"Innopolis University","ror":"https://ror.org/02b7jh107","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210116741"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Ilya Pershin","raw_affiliation_strings":["Innopolis Univ. (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Innopolis Univ. (Russian Federation)","institution_ids":["https://openalex.org/I4210116741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035834613","display_name":"Maksim Kholiavchenko","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maksim Kholiavchenko","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037949962","display_name":"Bulat Maksudov","orcid":"https://orcid.org/0000-0002-1128-6951"},"institutions":[{"id":"https://openalex.org/I4210116741","display_name":"Innopolis University","ror":"https://ror.org/02b7jh107","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210116741"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Bulat Maksudov","raw_affiliation_strings":["Innopolis Univ. (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Innopolis Univ. (Russian Federation)","institution_ids":["https://openalex.org/I4210116741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024223005","display_name":"Tamerlan Mustafaev","orcid":"https://orcid.org/0000-0002-5224-9428"},"institutions":[{"id":"https://openalex.org/I4210116741","display_name":"Innopolis University","ror":"https://ror.org/02b7jh107","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210116741"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Tamerlan Mustafaev","raw_affiliation_strings":["Innopolis Univ. (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Innopolis Univ. (Russian Federation)","institution_ids":["https://openalex.org/I4210116741"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070871008","display_name":"Bulat Ibragimov","orcid":"https://orcid.org/0000-0001-7739-7788"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]},{"id":"https://openalex.org/I4210116741","display_name":"Innopolis University","ror":"https://ror.org/02b7jh107","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210116741"]}],"countries":["DK","RU"],"is_corresponding":false,"raw_author_name":"Bulat Ibragimov","raw_affiliation_strings":["Innopolis Univ. (Russian Federation)","Univ. of Copenhagen (Denmark)"],"affiliations":[{"raw_affiliation_string":"Innopolis Univ. (Russian Federation)","institution_ids":["https://openalex.org/I4210116741"]},{"raw_affiliation_string":"Univ. of Copenhagen (Denmark)","institution_ids":["https://openalex.org/I124055696"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5053128426"],"corresponding_institution_ids":["https://openalex.org/I4210116741"],"apc_list":null,"apc_paid":null,"fwci":0.5764,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63743246,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"33","issue":null,"first_page":"39","last_page":"39"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10844","display_name":"Radiation Dose and Imaging","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10844","display_name":"Radiation Dose and Imaging","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11894","display_name":"Radiology practices and education","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T14510","display_name":"Medical Imaging and Analysis","score":0.987500011920929,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4460146725177765},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4260687828063965},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4131714403629303},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4053563177585602},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3428041934967041},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21654433012008667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4460146725177765},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4260687828063965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4131714403629303},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4053563177585602},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3428041934967041},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21654433012008667},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.2612760","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2612760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/7d2542f2-d568-42c2-ae18-ac86b50ab4b6","is_oa":false,"landing_page_url":"https://researchprofiles.ku.dk/da/publications/7d2542f2-d568-42c2-ae18-ac86b50ab4b6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Pershin , I , Kholiavchenko , M , Maksudov , B , Mustafaev , T & Ibragimov , B 2022 , AI-based analysis of radiologist's eye movements for fatigue estimation : A pilot study on chest X-rays . in C R Mello-Thoms , C R Mello-Thoms & S Taylor-Phillips (eds) , Medical Imaging 2022 : Image Perception, Observer Performance, and Technology Assessment . , 120350Y , SPIE , Progress in Biomedical Optics and Imaging - Proceedings of SPIE , vol. 12035 , Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment , Virtual, Online , 21/03/2022 . https://doi.org/10.1117/12.2612760","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2024798729","https://openalex.org/W2094376969","https://openalex.org/W2563780839","https://openalex.org/W2611650229","https://openalex.org/W2928280709","https://openalex.org/W2928537485","https://openalex.org/W2955825737","https://openalex.org/W2990660335","https://openalex.org/W3000671155","https://openalex.org/W3005451155","https://openalex.org/W3101156210","https://openalex.org/W3109626385","https://openalex.org/W3112825840","https://openalex.org/W6639824700","https://openalex.org/W6757575617"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407"],"abstract_inverted_index":{"Radiologist-AI":[0],"interaction":[1],"is":[2,30],"a":[3,31,124],"novel":[4],"area":[5],"of":[6,8,49,85,111,127],"research":[7],"potentially":[9],"great":[10],"impact.":[11],"It":[12],"has":[13],"been":[14,54],"observed":[15],"in":[16,34,42,142],"the":[17,20,25,39,75,83,89,109,129,137],"literature":[18],"that":[19,45],"radiologists\u2019":[21],"performance":[22],"deteriorates":[23],"towards":[24],"shift":[26],"ends":[27],"and":[28,79,103],"there":[29],"visual":[32],"change":[33],"their":[35],"gaze":[36,121,131],"patterns.":[37,122],"However,":[38],"quantitative":[40],"features":[41,132],"these":[43],"patterns":[44],"would":[46],"be":[47],"predictive":[48,140],"fatigue":[50,71,91,139],"have":[51],"not":[52],"yet":[53],"discovered.":[55],"A":[56,93],"radiologist":[57],"was":[58,72,106,116],"recruited":[59],"to":[60,118,144],"read":[61],"chest":[62],"X-rays,":[63],"while":[64],"his":[65],"eye":[66,130],"movements":[67],"were":[68],"recorded.":[69],"His":[70],"measured":[73],"using":[74],"target":[76],"concentration":[77],"test":[78,81],"Stroop":[80],"having":[82],"number":[84],"analyzed":[86],"X-rays":[87],"being":[88],"reference":[90],"metric.":[92],"framework":[94],"with":[95],"two":[96],"convolutional":[97],"neural":[98],"networks":[99],"based":[100],"on":[101],"UNet":[102],"ResNeXt50":[104],"architectures":[105],"developed":[107],"for":[108],"segmentation":[110,115,135],"lung":[112,134],"fields.":[113],"This":[114],"used":[117],"analyze":[119],"radiologist\u2019s":[120],"With":[123],"correlation":[125],"coefficient":[126],"0.82,":[128],"extracted":[133],"exhibited":[136],"strongest":[138],"powers":[141],"contrast":[143],"alternative":[145],"features.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}
