{"id":"https://openalex.org/W4292707488","doi":"https://doi.org/10.1038/s41746-022-00648-z","title":"Development and validation of an abnormality-derived deep-learning diagnostic system for major respiratory diseases","display_name":"Development and validation of an abnormality-derived deep-learning diagnostic system for major respiratory diseases","publication_year":2022,"publication_date":"2022-08-23","ids":{"openalex":"https://openalex.org/W4292707488","doi":"https://doi.org/10.1038/s41746-022-00648-z","pmid":"https://pubmed.ncbi.nlm.nih.gov/35999467"},"language":"en","primary_location":{"id":"doi:10.1038/s41746-022-00648-z","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41746-022-00648-z","pdf_url":null,"source":{"id":"https://openalex.org/S4210195431","display_name":"npj Digital Medicine","issn_l":"2398-6352","issn":["2398-6352"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"npj Digital Medicine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1038/s41746-022-00648-z","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019373631","display_name":"Chengdi Wang","orcid":"https://orcid.org/0000-0002-5284-2889"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chengdi Wang","raw_affiliation_strings":["Department of Respiratory and Critical Care Medicine, Med-X Center for Manufacturing, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China. chengdi_wang@scu.edu.cn","Department of Respiratory and Critical Care Medicine, Med-X Center for Manufacturing, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Department of Respiratory and Critical Care Medicine, Med-X Center for Manufacturing, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China. chengdi_wang@scu.edu.cn","institution_ids":[]},{"raw_affiliation_string":"Department of Respiratory and Critical Care Medicine, Med-X Center for Manufacturing, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043890252","display_name":"Jiechao Ma","orcid":"https://orcid.org/0000-0001-6502-4140"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiechao Ma","raw_affiliation_strings":["AI Lab, Deepwise Healthcare, Beijing, China"],"affiliations":[{"raw_affiliation_string":"AI Lab, Deepwise Healthcare, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115602786","display_name":"Shu Zhang","orcid":"https://orcid.org/0000-0002-2049-0970"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shu Zhang","raw_affiliation_strings":["AI Lab, Deepwise Healthcare, Beijing, China"],"affiliations":[{"raw_affiliation_string":"AI Lab, Deepwise Healthcare, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045477316","display_name":"Jun Shao","orcid":"https://orcid.org/0000-0002-9520-9653"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Shao","raw_affiliation_strings":["Department of Respiratory and Critical Care Medicine, Med-X Center for Manufacturing, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Department of Respiratory and Critical Care Medicine, Med-X Center for Manufacturing, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100388826","display_name":"Yanyan Wang","orcid":"https://orcid.org/0000-0002-9888-9850"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyan Wang","raw_affiliation_strings":["Nursing Key Laboratory of Sichuan Province, National Clinical Research Center for Geriatrics, and Science and Technology Department, West China Hospital, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Nursing Key Laboratory of Sichuan Province, National Clinical Research Center for Geriatrics, and Science and Technology Department, West China Hospital, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100783219","display_name":"Hong-Yu Zhou","orcid":"https://orcid.org/0000-0002-1256-7050"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hong-Yu Zhou","raw_affiliation_strings":["Department of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075585990","display_name":"Lujia Song","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lujia Song","raw_affiliation_strings":["Department of Respiratory and Critical Care Medicine, Med-X Center for Manufacturing, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Department of Respiratory and Critical Care Medicine, Med-X Center for Manufacturing, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100645741","display_name":"Jie Zheng","orcid":"https://orcid.org/0000-0002-9640-1604"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Zheng","raw_affiliation_strings":["AI Lab, Deepwise Healthcare, Beijing, China"],"affiliations":[{"raw_affiliation_string":"AI Lab, Deepwise Healthcare, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108557359","display_name":"Yizhou Yu","orcid":"https://orcid.org/0000-0002-0470-5548"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yizhou Yu","raw_affiliation_strings":["Department of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong. yizhouy@acm.org","Department of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong. yizhouy@acm.org","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100367626","display_name":"Weimin Li","orcid":"https://orcid.org/0000-0003-0985-0311"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weimin Li","raw_affiliation_strings":["Department of Respiratory and Critical Care Medicine, Med-X Center for Manufacturing, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China. weimi003@scu.edu.cn","Department of Respiratory and Critical Care Medicine, Med-X Center for Manufacturing, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Department of Respiratory and Critical Care Medicine, Med-X Center for Manufacturing, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China. weimi003@scu.edu.cn","institution_ids":[]},{"raw_affiliation_string":"Department of Respiratory and Critical Care Medicine, Med-X Center for Manufacturing, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5019373631"],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":{"value":3060,"currency":"USD","value_usd":3060},"apc_paid":{"value":3060,"currency":"USD","value_usd":3060},"fwci":4.8986,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.95851203,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"5","issue":"1","first_page":"124","last_page":"124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9994000196456909,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9994000196456909,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9961000084877014,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.6407361626625061},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.6016513705253601},{"id":"https://openalex.org/keywords/abnormality","display_name":"Abnormality","score":0.5757995247840881},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5054905414581299},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.5040930509567261},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4862429201602936},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.4841347634792328},{"id":"https://openalex.org/keywords/radiological-weapon","display_name":"Radiological weapon","score":0.4726606607437134},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.43902429938316345},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4301910698413849},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.42940181493759155},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.4207674264907837},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2628527283668518},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.19913578033447266},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08718746900558472}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6407361626625061},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.6016513705253601},{"id":"https://openalex.org/C50965678","wikidata":"https://www.wikidata.org/wiki/Q2724302","display_name":"Abnormality","level":2,"score":0.5757995247840881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5054905414581299},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.5040930509567261},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4862429201602936},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.4841347634792328},{"id":"https://openalex.org/C190892606","wikidata":"https://www.wikidata.org/wiki/Q3512464","display_name":"Radiological weapon","level":2,"score":0.4726606607437134},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.43902429938316345},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4301910698413849},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.42940181493759155},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.4207674264907837},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2628527283668518},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.19913578033447266},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08718746900558472},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1038/s41746-022-00648-z","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41746-022-00648-z","pdf_url":null,"source":{"id":"https://openalex.org/S4210195431","display_name":"npj Digital Medicine","issn_l":"2398-6352","issn":["2398-6352"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"npj Digital Medicine","raw_type":"journal-article"},{"id":"pmid:35999467","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35999467","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NPJ digital medicine","raw_type":null},{"id":"pmh:oai:doaj.org/article:792b08b4d9814247bf3c2f08505300ff","is_oa":true,"landing_page_url":"https://doaj.org/article/792b08b4d9814247bf3c2f08505300ff","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"npj Digital Medicine, Vol 5, Iss 1, Pp 1-12 (2022)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9395860","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9395860","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"NPJ Digit Med","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1038/s41746-022-00648-z","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41746-022-00648-z","pdf_url":null,"source":{"id":"https://openalex.org/S4210195431","display_name":"npj Digital Medicine","issn_l":"2398-6352","issn":["2398-6352"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"npj Digital Medicine","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6200000047683716}],"awards":[{"id":"https://openalex.org/G2433919987","display_name":null,"funder_award_id":"91859203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4293939929","display_name":null,"funder_award_id":"81871890","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1847618513","https://openalex.org/W2557738935","https://openalex.org/W2581082771","https://openalex.org/W2611650229","https://openalex.org/W2616247523","https://openalex.org/W2772723798","https://openalex.org/W2788633781","https://openalex.org/W2803124023","https://openalex.org/W2889562406","https://openalex.org/W2891706393","https://openalex.org/W2894319790","https://openalex.org/W2896817483","https://openalex.org/W2901954625","https://openalex.org/W2905810301","https://openalex.org/W2911605224","https://openalex.org/W2912290085","https://openalex.org/W2939466230","https://openalex.org/W2946185430","https://openalex.org/W2963091558","https://openalex.org/W2963466845","https://openalex.org/W2963676638","https://openalex.org/W2984904339","https://openalex.org/W2995225687","https://openalex.org/W3005931683","https://openalex.org/W3009705041","https://openalex.org/W3012051306","https://openalex.org/W3020653337","https://openalex.org/W3020992444","https://openalex.org/W3025404316","https://openalex.org/W3033438356","https://openalex.org/W3037045207","https://openalex.org/W3037083567","https://openalex.org/W3042181089","https://openalex.org/W3080332612","https://openalex.org/W3092743670","https://openalex.org/W3101156210","https://openalex.org/W3102564565","https://openalex.org/W3107467375","https://openalex.org/W3128646645","https://openalex.org/W3133676924","https://openalex.org/W3152711969","https://openalex.org/W3156011032","https://openalex.org/W3159302505","https://openalex.org/W3160137267","https://openalex.org/W3164387584","https://openalex.org/W3205076722","https://openalex.org/W4205232882","https://openalex.org/W4212904364","https://openalex.org/W4225593001","https://openalex.org/W4226245082","https://openalex.org/W4232356144","https://openalex.org/W4284692059","https://openalex.org/W4292528167","https://openalex.org/W4317626608"],"related_works":["https://openalex.org/W2118717649","https://openalex.org/W2413243053","https://openalex.org/W410723623","https://openalex.org/W2015341305","https://openalex.org/W2035068594","https://openalex.org/W4225593417","https://openalex.org/W2573498121","https://openalex.org/W3022298670","https://openalex.org/W3160494304","https://openalex.org/W3006162251"],"abstract_inverted_index":{"Respiratory":[0],"diseases":[1,33,253],"impose":[2],"a":[3,20,40,84,142,192,198,224,230,248],"tremendous":[4],"global":[5],"health":[6],"burden":[7],"on":[8,35,78,99,183,210],"large":[9],"patient":[10],"populations.":[11],"In":[12,140],"this":[13],"study,":[14],"we":[15,196],"aimed":[16],"to":[17,71,128,135,190,238,243],"develop":[18],"DeepMRD<sup>TR</sup>,":[19],"deep":[21],"learning-based":[22],"medical":[23,241],"image":[24],"interpretation":[25],"system":[26,148],"for":[27,93,169,178,251],"the":[28,36,79,112,116,120,130,150,154,204,236,240],"diagnosis":[29,98,145,182,246],"of":[30,39,43,89,160,201,221,227],"major":[31,179],"respiratory":[32,180,252],"based":[34],"automated":[37],"identification":[38,95],"wide":[41],"range":[42],"radiological":[44],"abnormalities":[45],"through":[46],"computed":[47],"tomography":[48],"(CT)":[49],"and":[50,64,96,119,133,166,172,175,185,223,259],"chest":[51],"X-ray":[52],"(CXR)":[53],"from":[54,83,101,111,124],"real-world,":[55],"large-scale":[56],"datasets.":[57],"DeepMRD<sup>TR</sup>":[58,90,202],"comprises":[59],"four":[60],"networks":[61],"(two":[62],"CT-Nets":[63],"two":[65,102],"CXR-Nets)":[66],"that":[67,75],"exploit":[68],"contrastive":[69],"learning":[70],"generate":[72],"pre-training":[73],"parameters":[74],"are":[76],"fine-tuned":[77],"retrospective":[80],"dataset":[81,110],"collected":[82,123],"single":[85],"institution.":[86],"The":[87],"performance":[88],"was":[91,106,122,208],"evaluated":[92],"abnormality":[94,170],"disease":[97,216],"data":[100,118],"different":[103],"institutions:":[104],"one":[105],"an":[107,125,136,219],"internal":[108],"testing":[109],"same":[113],"institution":[114,127],"as":[115,247],"training":[117],"second":[121],"external":[126],"evaluate":[129],"model":[131],"generalizability":[132],"robustness":[134],"unrelated":[137],"population":[138],"dataset.":[139],"such":[141],"difficult":[143],"multi-class":[144],"task,":[146],"our":[147],"achieved":[149],"average":[151],"area":[152],"under":[153],"receiver":[155],"operating":[156],"characteristic":[157],"curve":[158],"(AUC)":[159],"0.856":[161],"(95%":[162],"confidence":[163],"interval":[164],"(CI):0.843-0.868)":[165],"0.841":[167],"(95%CI:0.832-0.887)":[168,177],"identification,":[171],"0.900":[173],"(95%CI:0.872-0.958)":[174],"0.866":[176],"diseases'":[181],"CT":[184],"CXR":[186],"datasets,":[187],"respectively.":[188],"Furthermore,":[189],"achieve":[191],"clinically":[193],"actionable":[194],"diagnosis,":[195,217],"deployed":[197],"preliminary":[199],"version":[200],"into":[203],"clinical":[205,257],"workflow,":[206],"which":[207,254],"performed":[209],"par":[211],"with":[212,218],"senior":[213],"experts":[214],"in":[215],"AUC":[220],"0.890":[222],"Cohen's":[225],"k":[226],"0.746-0.877":[228],"at":[229],"reasonable":[231],"timescale;":[232],"these":[233],"findings":[234],"demonstrate":[235],"potential":[237],"accelerate":[239],"workflow":[242],"facilitate":[244],"early":[245],"triage":[249],"tool":[250],"supports":[255],"improved":[256],"diagnoses":[258],"decision-making.":[260]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
