{"id":"https://openalex.org/W7126019526","doi":"https://doi.org/10.1109/bibm66473.2025.11356095","title":"AST-CNN: Adaptive Time-Shift Convolutional Neural Network for Robust Intraoperative Hypotension Prediction","display_name":"AST-CNN: Adaptive Time-Shift Convolutional Neural Network for Robust Intraoperative Hypotension Prediction","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126019526","doi":"https://doi.org/10.1109/bibm66473.2025.11356095"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5124286017","display_name":"Tianze Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianze Xu","raw_affiliation_strings":["School of Artificial Intelligence, Nanjing University of Information Science and Technology,Jiangsu Key Laboratory of Intelligent Medical Image Computing,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Nanjing University of Information Science and Technology,Jiangsu Key Laboratory of Intelligent Medical Image Computing,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012719646","display_name":"Mucheng Ren","orcid":"https://orcid.org/0000-0002-6825-0757"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mucheng Ren","raw_affiliation_strings":["School of Artificial Intelligence, Nanjing University of Information Science and Technology,Jiangsu Key Laboratory of Intelligent Medical Image Computing,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Nanjing University of Information Science and Technology,Jiangsu Key Laboratory of Intelligent Medical Image Computing,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085442585","display_name":"Kun Yang","orcid":"https://orcid.org/0000-0003-1700-9688"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Yang","raw_affiliation_strings":["School of Artificial Intelligence, Nanjing University of Information Science and Technology,Jiangsu Key Laboratory of Intelligent Medical Image Computing,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Nanjing University of Information Science and Technology,Jiangsu Key Laboratory of Intelligent Medical Image Computing,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103649528","display_name":"J. T. Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Xu","raw_affiliation_strings":["School of Artificial Intelligence, Nanjing University of Information Science and Technology,Jiangsu Key Laboratory of Intelligent Medical Image Computing,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Nanjing University of Information Science and Technology,Jiangsu Key Laboratory of Intelligent Medical Image Computing,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061507364","display_name":"Xian Zeng","orcid":"https://orcid.org/0000-0002-1397-554X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Zeng","raw_affiliation_strings":["School of Artificial Intelligence, Nanjing University of Information Science and Technology,Jiangsu Key Laboratory of Intelligent Medical Image Computing,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Nanjing University of Information Science and Technology,Jiangsu Key Laboratory of Intelligent Medical Image Computing,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5533","last_page":"5540"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11700","display_name":"Hemodynamic Monitoring and Therapy","score":0.46000000834465027,"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/T11700","display_name":"Hemodynamic Monitoring and Therapy","score":0.46000000834465027,"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/T13248","display_name":"Healthcare Technology and Patient Monitoring","score":0.03610000014305115,"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/T10436","display_name":"Anesthesia and Sedative Agents","score":0.030799999833106995,"subfield":{"id":"https://openalex.org/subfields/2703","display_name":"Anesthesiology and Pain Medicine"},"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/interpretability","display_name":"Interpretability","score":0.8187999725341797},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6371999979019165},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6248999834060669},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.37459999322891235},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.3643999993801117},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.35839998722076416},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.3582000136375427},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.33809998631477356}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8187999725341797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7095000147819519},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6371999979019165},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6248999834060669},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6179999709129333},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42179998755455017},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.37459999322891235},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3643999993801117},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.35839998722076416},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3582000136375427},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.33809998631477356},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33469998836517334},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.3246999979019165},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.29820001125335693},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.2980000078678131},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.2937000095844269},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C52970973","wikidata":"https://www.wikidata.org/wiki/Q2497134","display_name":"Adaptive system","level":2,"score":0.28439998626708984},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25209999084472656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5222550630569458,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G8046506160","display_name":null,"funder_award_id":"1523142401057,1523142401055","funder_id":"https://openalex.org/F4320335990","funder_display_name":"Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320335990","display_name":"Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2521905912","https://openalex.org/W2601564443","https://openalex.org/W2608174232","https://openalex.org/W2808701318","https://openalex.org/W2809427753","https://openalex.org/W3006079219","https://openalex.org/W3009202705","https://openalex.org/W3081497074","https://openalex.org/W3126214037","https://openalex.org/W3169450514","https://openalex.org/W3177318507","https://openalex.org/W3200253919","https://openalex.org/W4210390918","https://openalex.org/W4224214586","https://openalex.org/W4244788991","https://openalex.org/W4281878921","https://openalex.org/W4377716591","https://openalex.org/W4382318467","https://openalex.org/W4398151494","https://openalex.org/W4402038057","https://openalex.org/W4402727033","https://openalex.org/W4406261948","https://openalex.org/W4411549706"],"related_works":[],"abstract_inverted_index":{"Intraoperative":[0],"hypotension":[1],"(IOH),":[2],"a":[3,62,106,145,158,180],"critical":[4],"condition":[5],"characterized":[6],"by":[7],"sustained":[8],"arterial":[9],"pressure":[10],"below":[11],"65":[12],"mmHg,":[13],"poses":[14],"significant":[15],"risks":[16],"of":[17,38,69,77,103,108,172,186],"organ":[18],"damage":[19],"and":[20,114,126,131,175],"mortality.":[21],"Despite":[22],"advancements":[23],"in":[24,32,148,183],"predictive":[25,127],"models,":[26],"current":[27],"methods":[28],"often":[29],"fall":[30],"short":[31],"capturing":[33],"the":[34,55,67,73,100,184],"dynamic,":[35],"multi-scale":[36],"nature":[37],"physiological":[39],"signals":[40],"due":[41],"to":[42,90,99],"their":[43],"reliance":[44],"on":[45,134],"fixed":[46],"convolutional":[47,93],"kernels.":[48],"To":[49],"address":[50],"this":[51],"challenge,":[52],"we":[53],"introduce":[54],"Adaptive":[56],"Time-Shift":[57],"Convolutional":[58],"Neural":[59],"Network":[60],"(ATS-CNN),":[61],"novel":[63],"approach":[64],"that":[65,140],"combines":[66],"flexibility":[68],"deformable":[70,111],"convolutions":[71],"with":[72],"temporal":[74],"modeling":[75],"power":[76],"LSTMs.":[78],"Unlike":[79],"traditional":[80],"methods,":[81],"ATS-CNN":[82,178],"leverages":[83],"an":[84],"innovative":[85],"LSTM-based":[86],"offset":[87],"generation":[88],"mechanism":[89],"dynamically":[91],"adjust":[92],"sampling":[94],"points,":[95],"enabling":[96],"precise":[97],"adaptation":[98],"non-stationary":[101],"characteristics":[102],"biosignals.":[104],"Through":[105],"combination":[107],"adaptive":[109],"sampling,":[110],"1D":[112],"convolutions,":[113],"robust":[115],"data":[116],"augmentation":[117],"techniques-including":[118],"dynamic":[119],"noise":[120],"injection-the":[121],"model":[122],"achieves":[123],"unparalleled":[124],"robustness":[125],"accuracy.":[128],"Extensive":[129],"internal":[130],"external":[132],"validations":[133],"two":[135],"large-scale":[136],"real-world":[137],"datasets":[138],"demonstrate":[139],"ATSCNN":[141],"not":[142],"only":[143],"sets":[144],"new":[146],"benchmark":[147],"<tex":[149],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[150],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\mathbf{I":[151],"O":[152],"H}$</tex>":[153],"prediction":[154],"but":[155],"also":[156],"offers":[157],"clinically":[159],"interpretable":[160],"framework,":[161],"transforming":[162],"how":[163],"machine":[164],"learning":[165],"addresses":[166],"high-stakes":[167],"medical":[168],"challenges.":[169],"This":[170],"fusion":[171],"adaptability,":[173],"precision,":[174],"interpretability":[176],"positions":[177],"as":[179],"disruptive":[181],"innovation":[182],"field":[185],"perioperative":[187],"care.":[188]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-01-30T00:00:00"}