{"id":"https://openalex.org/W7160778819","doi":"https://doi.org/10.1007/s44163-026-01323-y","title":"Advances in artificial intelligence techniques for diagnosis of cardiac diseases","display_name":"Advances in artificial intelligence techniques for diagnosis of cardiac diseases","publication_year":2026,"publication_date":"2026-05-10","ids":{"openalex":"https://openalex.org/W7160778819","doi":"https://doi.org/10.1007/s44163-026-01323-y"},"language":"en","primary_location":{"id":"doi:10.1007/s44163-026-01323-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-026-01323-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-026-01323-y.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s44163-026-01323-y.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135521583","display_name":"Essam H. Houssein","orcid":null},"institutions":[{"id":"https://openalex.org/I89466785","display_name":"Minia University","ror":"https://ror.org/02hcv4z63","country_code":"EG","type":"education","lineage":["https://openalex.org/I89466785"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Essam H. Houssein","raw_affiliation_strings":["Faculty of Computers and Information, Minia University, Minia, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computers and Information, Minia University, Minia, Egypt","institution_ids":["https://openalex.org/I89466785"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056100470","display_name":"Hebatollah Mostafa","orcid":null},"institutions":[{"id":"https://openalex.org/I89466785","display_name":"Minia University","ror":"https://ror.org/02hcv4z63","country_code":"EG","type":"education","lineage":["https://openalex.org/I89466785"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Hebatollah Mostafa","raw_affiliation_strings":["Faculty of Computers and Information, Minia University, Minia, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computers and Information, Minia University, Minia, Egypt","institution_ids":["https://openalex.org/I89466785"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114334565","display_name":"Abdelmgeid A. Ali","orcid":null},"institutions":[{"id":"https://openalex.org/I89466785","display_name":"Minia University","ror":"https://ror.org/02hcv4z63","country_code":"EG","type":"education","lineage":["https://openalex.org/I89466785"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Abdelmgeid A. Ali","raw_affiliation_strings":["Faculty of Computers and Information, Minia University, Minia, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computers and Information, Minia University, Minia, Egypt","institution_ids":["https://openalex.org/I89466785"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103133928","display_name":"Hassan Shaban","orcid":"https://orcid.org/0000-0003-1692-5860"},"institutions":[{"id":"https://openalex.org/I89466785","display_name":"Minia University","ror":"https://ror.org/02hcv4z63","country_code":"EG","type":"education","lineage":["https://openalex.org/I89466785"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Hassan Shaban","raw_affiliation_strings":["Faculty of Computers and Information, Minia University, Minia, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computers and Information, Minia University, Minia, Egypt","institution_ids":["https://openalex.org/I89466785"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077689687","display_name":"Mohamed Sameh Hassanein","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127389","display_name":"Thebes Academy","ror":"https://ror.org/02fwenk18","country_code":"EG","type":"education","lineage":["https://openalex.org/I4210127389"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohamed Sameh Hassanein","raw_affiliation_strings":["Integrated Thebes Institutes for Computing & Management Science, Cairo, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Integrated Thebes Institutes for Computing & Management Science, Cairo, Egypt","institution_ids":["https://openalex.org/I4210127389"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5135521583"],"corresponding_institution_ids":["https://openalex.org/I89466785"],"apc_list":{"value":990,"currency":"EUR","value_usd":1067},"apc_paid":{"value":990,"currency":"EUR","value_usd":1067},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.71971328,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.948199987411499,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.948199987411499,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.009399999864399433,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.004600000102072954,"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/interpretability","display_name":"Interpretability","score":0.8080000281333923},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47380000352859497},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.39989998936653137},{"id":"https://openalex.org/keywords/applications-of-artificial-intelligence","display_name":"Applications of artificial intelligence","score":0.3919000029563904},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3310999870300293},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3278000056743622}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8080000281333923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6047000288963318},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47380000352859497},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4672999978065491},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.39989998936653137},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3950999975204468},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.3919000029563904},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3831000030040741},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3806000053882599},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3310999870300293},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3278000056743622},{"id":"https://openalex.org/C3020132585","wikidata":"https://www.wikidata.org/wiki/Q2671652","display_name":"Diagnostic accuracy","level":2,"score":0.3084000051021576},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.30140000581741333},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.2734000086784363},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.2689000070095062},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.2678999900817871},{"id":"https://openalex.org/C3018284874","wikidata":"https://www.wikidata.org/wiki/Q389735","display_name":"Cardiovascular health","level":3,"score":0.2558000087738037}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44163-026-01323-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-026-01323-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-026-01323-y.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6ee121cfeb1948398d4c6859fd731e5e","is_oa":true,"landing_page_url":"https://doaj.org/article/6ee121cfeb1948398d4c6859fd731e5e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Discover Artificial Intelligence, Vol 6, Iss 1 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44163-026-01323-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-026-01323-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-026-01323-y.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5155356526374817}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7160778819.pdf","grobid_xml":"https://content.openalex.org/works/W7160778819.grobid-xml"},"referenced_works_count":77,"referenced_works":["https://openalex.org/W1892542784","https://openalex.org/W1984193729","https://openalex.org/W1989164753","https://openalex.org/W2051267297","https://openalex.org/W2095409369","https://openalex.org/W2518582440","https://openalex.org/W2566079294","https://openalex.org/W2747849569","https://openalex.org/W2792641098","https://openalex.org/W2794550444","https://openalex.org/W2796884049","https://openalex.org/W2890717576","https://openalex.org/W2898262985","https://openalex.org/W2902644322","https://openalex.org/W2939574265","https://openalex.org/W2943511409","https://openalex.org/W2946078250","https://openalex.org/W2951934944","https://openalex.org/W2969771517","https://openalex.org/W2972255700","https://openalex.org/W2982980439","https://openalex.org/W2994515746","https://openalex.org/W2996959172","https://openalex.org/W2999069903","https://openalex.org/W2999376617","https://openalex.org/W3008167346","https://openalex.org/W3008627481","https://openalex.org/W3011035318","https://openalex.org/W3013980936","https://openalex.org/W3015226328","https://openalex.org/W3027572331","https://openalex.org/W3033523981","https://openalex.org/W3033926838","https://openalex.org/W3084949122","https://openalex.org/W3089034193","https://openalex.org/W3089350906","https://openalex.org/W3091474009","https://openalex.org/W3093699748","https://openalex.org/W3096527050","https://openalex.org/W3122189984","https://openalex.org/W3126831744","https://openalex.org/W3127657277","https://openalex.org/W3127776324","https://openalex.org/W3166630818","https://openalex.org/W3171133750","https://openalex.org/W3171177453","https://openalex.org/W3216566295","https://openalex.org/W4220979994","https://openalex.org/W4220986642","https://openalex.org/W4225000912","https://openalex.org/W4225632040","https://openalex.org/W4230914943","https://openalex.org/W4249408804","https://openalex.org/W4283712983","https://openalex.org/W4304891561","https://openalex.org/W4311729202","https://openalex.org/W4312922995","https://openalex.org/W4313646859","https://openalex.org/W4318016644","https://openalex.org/W4371766303","https://openalex.org/W4380628262","https://openalex.org/W4385248592","https://openalex.org/W4386432022","https://openalex.org/W4390670395","https://openalex.org/W4391289725","https://openalex.org/W4394944863","https://openalex.org/W4400126525","https://openalex.org/W4400196929","https://openalex.org/W4401585598","https://openalex.org/W4402549161","https://openalex.org/W4402859755","https://openalex.org/W4406845258","https://openalex.org/W4412891505","https://openalex.org/W4413436628","https://openalex.org/W4414310196","https://openalex.org/W4415924988","https://openalex.org/W4416414825"],"related_works":[],"abstract_inverted_index":{"Cardiovascular":[0],"diseases":[1],"(CVDs)":[2],"remain":[3,170],"one":[4],"of":[5,31,45,89,124,162],"the":[6,12,21,153],"primary":[7],"global":[8],"health":[9,79],"challenges,":[10],"emphasizing":[11],"necessity":[13],"for":[14,39],"fast":[15],"and":[16,36,59,81,86,110,119,130,150,165,181,189],"accurate":[17],"diagnostic":[18,23,128],"methods.":[19],"Among":[20],"available":[22],"tools,":[24],"electrocardiography":[25],"(ECG)":[26,92],"is":[27,94],"commonly":[28],"used":[29,156],"because":[30],"its":[32],"non-invasive":[33],"nature,":[34],"accessibility,":[35],"low":[37],"cost":[38],"detecting":[40],"cardiac":[41,201],"abnormalities.":[42],"The":[43,133],"integration":[44],"Artificial":[46],"Intelligence":[47],"(AI)":[48],"techniques":[49],"has":[50],"significantly":[51],"improved":[52],"ECG-based":[53,200],"diagnosis":[54],"by":[55,102],"automating":[56],"ECG":[57],"interpretation":[58],"supporting":[60],"clinical":[61,174],"decision-making.":[62],"Although":[63],"several":[64],"surveys":[65,188],"have":[66],"reviewed":[67],"AI":[68,126],"in":[69,122],"CVD":[70],"diagnosis,":[71],"most":[72,154],"take":[73],"a":[74,178,194],"broad":[75],"perspective":[76],"across":[77],"imaging,":[78],"records,":[80],"wearable":[82],"data.":[83],"A":[84,112],"focused":[85],"systematic":[87],"synthesis":[88],"AI-driven":[90,199],"electrocardiogram":[91],"analysis":[93],"still":[95],"lacking.":[96],"This":[97],"review":[98,185],"addresses":[99],"this":[100,184],"gap":[101],"systematically":[103],"analyzing":[104],"83":[105],"studies":[106,121],"published":[107],"between":[108],"2016":[109],"2025.":[111],"structured":[113],"methodology":[114],"was":[115],"applied":[116],"to":[117,168,173,196],"identify":[118],"evaluate":[120],"terms":[123],"datasets,":[125],"models,":[127],"tasks,":[129],"evaluation":[131],"practices.":[132],"findings":[134],"show":[135],"that":[136],"deep":[137],"learning":[138],"methods":[139],"such":[140],"as":[141,152],"convolutional":[142],"neural":[143],"networks":[144],"dominate":[145],"recent":[146],"research,":[147],"with":[148],"PTB-XL":[149],"MIT-BIH":[151],"widely":[155],"datasets.":[157],"However,":[158],"dataset":[159],"limitations,":[160],"lack":[161],"external":[163],"validation,":[164],"limited":[166],"attention":[167],"interpretability":[169],"key":[171],"barriers":[172],"translation.":[175],"By":[176],"providing":[177],"focused,":[179],"systematic,":[180],"comparative":[182],"synthesis,":[183],"extends":[186],"existing":[187],"highlights":[190],"research":[191],"gaps,":[192],"offering":[193],"roadmap":[195],"guide":[197],"future":[198],"diagnostics":[202],"toward":[203],"real-world":[204],"adoption.":[205]},"counts_by_year":[],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2026-05-11T00:00:00"}