{"id":"https://openalex.org/W3211074976","doi":"https://doi.org/10.1145/3486001.3486242","title":"InuAid Chest X-rays AI Product","display_name":"InuAid Chest X-rays AI Product","publication_year":2021,"publication_date":"2021-10-21","ids":{"openalex":"https://openalex.org/W3211074976","doi":"https://doi.org/10.1145/3486001.3486242","mag":"3211074976"},"language":"en","primary_location":{"id":"doi:10.1145/3486001.3486242","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3486001.3486242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The First International Conference on AI-ML-Systems","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/A5112702060","display_name":"Prem Kumar S. R.","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Prem Kumar S. R.","raw_affiliation_strings":["InuAid Solutions Private Limited, India"],"affiliations":[{"raw_affiliation_string":"InuAid Solutions Private Limited, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048646615","display_name":"Vikas Kumar Anand","orcid":"https://orcid.org/0000-0002-7109-1638"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vikas Kumar Anand","raw_affiliation_strings":["Indian Institute of Technology Madras, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024053510","display_name":"Sanjib Senapati","orcid":"https://orcid.org/0000-0002-6671-8299"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sanjib Senapati","raw_affiliation_strings":["Indian Institute of Technology Madras, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037471397","display_name":"Arunan Murali","orcid":null},"institutions":[{"id":"https://openalex.org/I20107917","display_name":"Sri Ramachandra Institute of Higher Education and Research","ror":"https://ror.org/0108gdg43","country_code":"IN","type":"education","lineage":["https://openalex.org/I20107917"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arunan Murali","raw_affiliation_strings":["Sri Ramachandra Institute of Higher Education and Research, India"],"affiliations":[{"raw_affiliation_string":"Sri Ramachandra Institute of Higher Education and Research, India","institution_ids":["https://openalex.org/I20107917"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5112702060"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21736311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"201","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":1.0,"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":1.0,"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/T10862","display_name":"AI in cancer detection","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.98580002784729,"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/computer-science","display_name":"Computer science","score":0.5982149839401245},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.5411235094070435},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47603917121887207},{"id":"https://openalex.org/keywords/pneumonia","display_name":"Pneumonia","score":0.475103497505188},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.43257689476013184},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4160464406013489},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.3636960983276367},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.34916138648986816},{"id":"https://openalex.org/keywords/medical-physics","display_name":"Medical physics","score":0.3230859637260437},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.23143607378005981},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.09320002794265747},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.09285947680473328}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5982149839401245},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.5411235094070435},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47603917121887207},{"id":"https://openalex.org/C2777914695","wikidata":"https://www.wikidata.org/wiki/Q12192","display_name":"Pneumonia","level":2,"score":0.475103497505188},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.43257689476013184},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4160464406013489},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.3636960983276367},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.34916138648986816},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.3230859637260437},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.23143607378005981},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.09320002794265747},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.09285947680473328},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3486001.3486242","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3486001.3486242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The First International Conference on AI-ML-Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2006504511","https://openalex.org/W2112796928","https://openalex.org/W2159354934","https://openalex.org/W2183341477","https://openalex.org/W2495231277","https://openalex.org/W2618530766","https://openalex.org/W2796438033","https://openalex.org/W3007497549","https://openalex.org/W3008985036","https://openalex.org/W3009219040"],"related_works":["https://openalex.org/W4205698903","https://openalex.org/W4400613637","https://openalex.org/W4294968941","https://openalex.org/W4283819461","https://openalex.org/W4390279739","https://openalex.org/W4205413867","https://openalex.org/W3179695362","https://openalex.org/W3087333412","https://openalex.org/W4394620624","https://openalex.org/W3177646415"],"abstract_inverted_index":{"The":[0,162,188,213,233],"spread":[1,44,82],"of":[2,22,34,105,114,153,160,174,254],"Covid-19":[3,117],"virus":[4,24,36,78],"around":[5],"the":[6,23,35,77,95,102,111,127,134,139,151,156,172,198,207,210,217,223,228,238,242,266,277],"world":[7],"has":[8],"taken":[9],"many":[10,16],"lives,":[11],"quarantined":[12],"people":[13],"and":[14,25,45,49,63,71,83,94,129,181,196,201,220,251],"shattered":[15],"industries.":[17],"Due":[18],"to":[19,41,46,75,79,126,142,149,191,202,221,227,247,273],"high":[20],"transmissibility":[21],"its":[26,43,81],"silent":[27],"incubation":[28],"period":[29],"in":[30,133,185],"human":[31],"beings,":[32],"detection":[33,224],"plays":[37],"an":[38,144],"important":[39],"role":[40],"control":[42],"plan":[47],"diagnostic":[48,73,214],"preventive":[50],"measures.":[51],"Laboratory":[52],"tests":[53,88],"such":[54],"as":[55,101],"Polymerase":[56],"Chain":[57],"Reaction":[58],"(PCR)":[59],"take":[60],"more":[61,204],"time":[62],"hence":[64,107],"there":[65],"is":[66,141,190,216],"a":[67],"need":[68],"for":[69,91,146],"rapid":[70],"accurate":[72,167],"methods":[74],"detect":[76],"prevent":[80],"combat":[84],"it.":[85],"Today":[86],"PCR":[87],"were":[89],"used":[90,100,178],"diagnosing":[92],"purposes":[93],"chest":[96,112,157,193],"x-ray":[97,158,194],"was":[98,235,245,271],"only":[99],"follow":[103],"up":[104],"patients,":[106],"these":[108],"studies":[109],"on":[110,206,276],"x-rays":[113],"patients":[115],"with":[116,171,261],"pneumonia":[118,262],"or":[119],"any":[120],"other":[121],"disease":[122],"are":[123],"still":[124],"limited":[125,229],"literature":[128],"must":[130,164],"be":[131,165,274],"improved":[132],"future.":[135],"In":[136],"this":[137,186],"project,":[138],"goal":[140],"build":[143],"application":[145],"healthcare":[147],"workers":[148],"monitor":[150],"health":[152],"lungs":[154],"using":[155,257],"images":[159,195,208],"patients.":[161],"algorithm":[163],"very":[166],"because":[168],"it":[169],"deals":[170],"lives":[173],"people.":[175],"Here":[176],"we":[177],"computer":[179],"vision":[180],"deep":[182],"learning":[183,259],"techniques":[184],"project.":[187],"focus":[189],"classify":[192],"segment":[197],"abnormal":[199],"region":[200],"get":[203],"insights":[205],"from":[209,237],"available":[211],"datasets.":[212],"accuracy":[215,250],"challenging":[218],"part":[219],"increase":[222],"efficiency":[225],"due":[226],"open-source":[230],"data":[231,234],"available.":[232],"collected":[236],"internet.":[239],"On":[240,264],"classification,":[241],"trained":[243],"model":[244],"able":[246],"achieve":[248],"93.10%":[249],"F1":[252],"Score":[253],"0.93":[255],"after":[256],"transfer":[258],"technique":[260],"images.":[263],"segmentation,":[265],"Intersection":[267],"Over":[268],"Union":[269],"value":[270],"found":[272],"0.91":[275],"validation":[278],"data.":[279]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
