{"id":"https://openalex.org/W7117746068","doi":"https://doi.org/10.1109/jiot.2025.3649897","title":"Remaining Useful Life Prediction of CT X-Ray Tubes Based on the Internet of Medical Things","display_name":"Remaining Useful Life Prediction of CT X-Ray Tubes Based on the Internet of Medical Things","publication_year":2025,"publication_date":"2025-12-31","ids":{"openalex":"https://openalex.org/W7117746068","doi":"https://doi.org/10.1109/jiot.2025.3649897"},"language":null,"primary_location":{"id":"doi:10.1109/jiot.2025.3649897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3649897","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-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/A5121686726","display_name":"Hong Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I2802939634","display_name":"Chinese PLA General Hospital","ror":"https://ror.org/04gw3ra78","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802939634"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hong Liang","raw_affiliation_strings":["Department of Medical Innovation and Research, Chinese PLA General Hospital, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0886-487X","affiliations":[{"raw_affiliation_string":"Department of Medical Innovation and Research, Chinese PLA General Hospital, Beijing, China","institution_ids":["https://openalex.org/I2802939634"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121648702","display_name":"Jipeng Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I2802939634","display_name":"Chinese PLA General Hospital","ror":"https://ror.org/04gw3ra78","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802939634"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jipeng Sun","raw_affiliation_strings":["Department of Medical Innovation and Research, Chinese PLA General Hospital, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Innovation and Research, Chinese PLA General Hospital, Beijing, China","institution_ids":["https://openalex.org/I2802939634"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121627446","display_name":"Chang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Liu","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121634055","display_name":"Cebing Chu","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cebing Chu","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121650816","display_name":"Yuzhe Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuzhe Lu","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121664105","display_name":"Yong Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I2802939634","display_name":"Chinese PLA General Hospital","ror":"https://ror.org/04gw3ra78","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802939634"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Fan","raw_affiliation_strings":["Department of Medical Innovation and Research, Chinese PLA General Hospital, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Innovation and Research, Chinese PLA General Hospital, Beijing, China","institution_ids":["https://openalex.org/I2802939634"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121685049","display_name":"Zekun Miao","orcid":null},"institutions":[{"id":"https://openalex.org/I2802939634","display_name":"Chinese PLA General Hospital","ror":"https://ror.org/04gw3ra78","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802939634"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zekun Miao","raw_affiliation_strings":["Department of Medical Innovation and Research, Chinese PLA General Hospital, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Innovation and Research, Chinese PLA General Hospital, Beijing, China","institution_ids":["https://openalex.org/I2802939634"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057170142","display_name":"Chongzhe Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I2802939634","display_name":"Chinese PLA General Hospital","ror":"https://ror.org/04gw3ra78","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802939634"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongzhe Zhang","raw_affiliation_strings":["Department of Medical Innovation and Research, Chinese PLA General Hospital, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Innovation and Research, Chinese PLA General Hospital, Beijing, China","institution_ids":["https://openalex.org/I2802939634"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121689962","display_name":"Yonghua Li","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghua Li","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8173-8351","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083689909","display_name":"Zhengbo Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I2802939634","display_name":"Chinese PLA General Hospital","ror":"https://ror.org/04gw3ra78","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802939634"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengbo Zhang","raw_affiliation_strings":["Department of Medical Innovation and Research, Chinese PLA General Hospital, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9218-5644","affiliations":[{"raw_affiliation_string":"Department of Medical Innovation and Research, Chinese PLA General Hospital, Beijing, China","institution_ids":["https://openalex.org/I2802939634"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5121686726"],"corresponding_institution_ids":["https://openalex.org/I2802939634"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.79894413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"7","first_page":"14527","last_page":"14541"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13690","display_name":"Quality and Safety in Healthcare","score":0.5425999760627747,"subfield":{"id":"https://openalex.org/subfields/3607","display_name":"Medical Laboratory Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T13690","display_name":"Quality and Safety in Healthcare","score":0.5425999760627747,"subfield":{"id":"https://openalex.org/subfields/3607","display_name":"Medical Laboratory Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11773","display_name":"Healthcare Operations and Scheduling Optimization","score":0.03269999846816063,"subfield":{"id":"https://openalex.org/subfields/3604","display_name":"Emergency Medical Services"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13248","display_name":"Healthcare Technology and Patient Monitoring","score":0.026399999856948853,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/downtime","display_name":"Downtime","score":0.5450999736785889},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.49470001459121704},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.49239999055862427},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.40310001373291016},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.37630000710487366},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.3547999858856201},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.35370001196861267},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3492000102996826}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7997999787330627},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5995000004768372},{"id":"https://openalex.org/C180591934","wikidata":"https://www.wikidata.org/wiki/Q1253369","display_name":"Downtime","level":2,"score":0.5450999736785889},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.49470001459121704},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.49239999055862427},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4569000005722046},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.40310001373291016},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.37630000710487366},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.3547999858856201},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.35370001196861267},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3492000102996826},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33570000529289246},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.3172000050544739},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.2957000136375427},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.2930999994277954},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.27639999985694885},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.26739999651908875},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26269999146461487},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.2538999915122986},{"id":"https://openalex.org/C23725684","wikidata":"https://www.wikidata.org/wiki/Q616377","display_name":"Maintenance engineering","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3649897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3649897","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1556473642","https://openalex.org/W1991133427","https://openalex.org/W2007321142","https://openalex.org/W2007484394","https://openalex.org/W2047028564","https://openalex.org/W2064675550","https://openalex.org/W2086699924","https://openalex.org/W2110221383","https://openalex.org/W2132870455","https://openalex.org/W2136848157","https://openalex.org/W2509449026","https://openalex.org/W2781188893","https://openalex.org/W2943154646","https://openalex.org/W2985374384","https://openalex.org/W3008314309","https://openalex.org/W3211642604","https://openalex.org/W4297364274","https://openalex.org/W4311307275","https://openalex.org/W4375862915","https://openalex.org/W4377115543","https://openalex.org/W4385727981","https://openalex.org/W4387842876","https://openalex.org/W4392092888","https://openalex.org/W4394766432","https://openalex.org/W4404400447","https://openalex.org/W4404469400","https://openalex.org/W4405662111","https://openalex.org/W4411174633","https://openalex.org/W4412941009"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"Remaining":[1],"Useful":[2],"Life":[3],"(RUL)":[4],"estimation":[5],"for":[6,191],"CT":[7],"X-ray":[8],"tube":[9,196],"filaments":[10],"is":[11],"critical":[12],"to":[13,45],"reduce":[14],"unscheduled":[15],"downtime":[16],"and":[17,38,60,101,118,171,179,199],"optimize":[18],"maintenance":[19],"in":[20,203],"clinical":[21],"settings.":[22],"This":[23,183],"work":[24],"leverages":[25],"full-lifecycle":[26],"operational":[27],"logs":[28],"collected":[29],"via":[30],"an":[31,188],"Internet":[32],"of":[33,72,169],"Medical":[34],"Things":[35],"(IoMT)":[36],"platform":[37],"selects":[39],"the":[40,70,156],"parameter-stable":[41],"Scout":[42],"View":[43],"mode":[44],"build":[46],"physically":[47],"consistent":[48],"degradation":[49],"sequences.":[50],"A":[51],"multi-stage":[52],"preprocessing":[53],"pipeline\u2014anomaly":[54],"removal,":[55],"failure-threshold":[56],"truncation,":[57],"normalization,":[58],"downsampling,":[59],"sliding-window":[61],"segmentation":[62],"\u2014":[63],"yields":[64],"standardized":[65],"multivariate":[66,109],"inputs.":[67],"To":[68,129],"validate":[69],"effectiveness":[71],"our":[73],"method,":[74],"we":[75,106,134],"conducted":[76],"a":[77,108,136,163],"comprehensive":[78],"comparative":[79],"analysis":[80],"against":[81],"five":[82],"baseline":[83],"paradigms:":[84],"Hidden":[85],"Markov":[86],"Models":[87],"(HMM),":[88],"segmented":[89],"linear":[90],"regression,":[91],"Gated":[92],"Recurrent":[93],"Units":[94],"(GRU),":[95],"1D":[96],"Convolutional":[97],"Neural":[98],"Networks":[99],"(1D-CNN),":[100],"Transformers.":[102],"Based":[103],"on":[104,123,144],"this,":[105],"develop":[107],"prediction":[110],"framework":[111],"using":[112],"filament":[113,147],"current,":[114],"cumulative":[115,119],"scan":[116],"time,":[117],"usage":[120],"days":[121],"based":[122],"Long":[124],"Short-Term":[125],"Memory":[126],"(LSTM)":[127],"networks.":[128],"further":[130],"improve":[131],"temporal":[132],"consistency,":[133],"introduce":[135],"novel":[137],"historical":[138],"path":[139],"backtracking":[140],"correction":[141],"mechanism.":[142],"Experiments":[143],"38":[145],"complete":[146],"life":[148],"cycles":[149],"(7":[150],"holdout":[151],"test":[152],"samples)":[153],"demonstrate":[154],"that":[155],"backtracking-corrected":[157],"LSTM":[158],"achieves":[159],"superior":[160],"performance,":[161],"yielding":[162],"mean":[164],"absolute":[165],"percentage":[166],"error":[167],"(MAPE)":[168],"9.55%":[170],"R\u00b2":[172],"=":[173],"0.989,":[174],"significantly":[175],"outperforming":[176],"all":[177],"statistical":[178],"deep":[180],"learning":[181],"baselines.":[182],"IoMT-driven,":[184],"deployable":[185],"approach":[186],"provides":[187],"effective":[189],"solution":[190],"predictive":[192],"maintenance,":[193],"enabling":[194],"proactive":[195],"replacement":[197],"planning":[198],"supporting":[200],"resource":[201],"optimization":[202],"smart":[204],"hospital":[205],"operations.":[206]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-12-31T00:00:00"}