{"id":"https://openalex.org/W4379512071","doi":"https://doi.org/10.21428/594757db.166dda67","title":"A Comprehensive Framework for the Development of Ethical Machine Learning in Medicine","display_name":"A Comprehensive Framework for the Development of Ethical Machine Learning in Medicine","publication_year":2023,"publication_date":"2023-06-05","ids":{"openalex":"https://openalex.org/W4379512071","doi":"https://doi.org/10.21428/594757db.166dda67"},"language":"en","primary_location":{"id":"doi:10.21428/594757db.166dda67","is_oa":true,"landing_page_url":"http://dx.doi.org/10.21428/594757db.166dda67","pdf_url":"https://caiac.pubpub.org/pub/anams6jv/download/pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Canadian Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://caiac.pubpub.org/pub/anams6jv/download/pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092096544","display_name":"Emily Medema","orcid":null},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Emily Medema","raw_affiliation_strings":["Queen\u2019s University, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen\u2019s University, Canada","institution_ids":["https://openalex.org/I204722609"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5092096544"],"corresponding_institution_ids":["https://openalex.org/I204722609"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01894737,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9603999853134155,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9398000240325928,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/engineering-ethics","display_name":"Engineering ethics","score":0.5039481520652771},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.35455334186553955},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.353148877620697},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.33804792165756226},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2501349449157715}],"concepts":[{"id":"https://openalex.org/C55587333","wikidata":"https://www.wikidata.org/wiki/Q1133029","display_name":"Engineering ethics","level":1,"score":0.5039481520652771},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.35455334186553955},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.353148877620697},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33804792165756226},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2501349449157715}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21428/594757db.166dda67","is_oa":true,"landing_page_url":"http://dx.doi.org/10.21428/594757db.166dda67","pdf_url":"https://caiac.pubpub.org/pub/anams6jv/download/pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Canadian Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.21428/594757db.166dda67","is_oa":true,"landing_page_url":"http://dx.doi.org/10.21428/594757db.166dda67","pdf_url":"https://caiac.pubpub.org/pub/anams6jv/download/pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Canadian Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320330223","display_name":"Vector Institute","ror":"https://ror.org/03kqdja62"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4379512071.pdf","grobid_xml":"https://content.openalex.org/works/W4379512071.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W2740259058","https://openalex.org/W2775173797","https://openalex.org/W2789970635","https://openalex.org/W2884074583","https://openalex.org/W2889217150","https://openalex.org/W2900379068","https://openalex.org/W2906797451","https://openalex.org/W2909153877","https://openalex.org/W2921763762","https://openalex.org/W3001878481","https://openalex.org/W3011403448","https://openalex.org/W3022706016","https://openalex.org/W3030028481","https://openalex.org/W3087893815","https://openalex.org/W3091454361","https://openalex.org/W3094367447","https://openalex.org/W3122506136","https://openalex.org/W3159623667","https://openalex.org/W3161904859","https://openalex.org/W3168318937","https://openalex.org/W3186782927","https://openalex.org/W3191171508","https://openalex.org/W3210796422","https://openalex.org/W4210454467","https://openalex.org/W4224212258","https://openalex.org/W4237818622","https://openalex.org/W4281254423","https://openalex.org/W4297243326"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"As":[0],"the":[1,10,20,24,30,35,44,56,66,74,83,105,120,124,141,152,196,217,239,252,258],"health":[2,41,45,112],"industry":[3,46],"continues":[4,15],"to":[5,16,81,118,135,206],"collect":[6],"more":[7,27,223],"data":[8,39],"and":[9,34,89,111,130,133,144,151,247,251,255],"development":[11,106,181,197],"of":[12,32,38,58,86,96,107,123,126,147,154,195,198,216,241,260],"Artificial":[13],"Intelligence":[14],"reach":[17],"new":[18],"heights,":[19],"potential":[21,67,75],"collaboration":[22],"between":[23],"two":[25],"becomes":[26],"tempting.":[28],"Leveraging":[29],"power":[31],"AI":[33,69,90,109,127,148,242,261],"sheer":[36],"amount":[37],"within":[40],"could":[42],"revolutionize":[43],"that":[47,55,168,213],"is":[48,53,72,170,188,230],"known":[49],"today.":[50],"However,":[51],"it":[52,164],"imperative":[54],"ethics":[57,259],"such":[59],"innovative":[60],"solutions":[61],"are":[62,77,211,220],"considered":[63],"as":[64],"while":[65],"for":[68,104,173,177,192,233],"in":[70,91,128,149,158,184,201,203,262],"medicine":[71,129,150,202],"astronomical,":[73],"pitfalls":[76],"treacherous.":[78],"In":[79],"order":[80],"ensure":[82],"ethical":[84,97,121,145,155,178,208,227],"use":[85],"Machine":[87],"Learning":[88],"medicine,":[92],"a":[93,171,174,225,231],"recognized":[94],"set":[95],"guidelines":[98,134],"must":[99,115],"be":[100],"put":[101],"into":[102],"place":[103],"models.":[108],"experts":[110],"professionals":[113],"alike":[114],"work":[116,189],"together":[117],"consider":[119],"quandaries":[122],"usage":[125,143],"develop":[131],"methods":[132],"mitigate":[136],"them.":[137],"We":[138],"have":[139],"surveyed":[140],"current":[142],"concerns":[146],"state":[153],"machine":[156,179,199],"learning":[157,180,200],"Computer":[159],"Science.":[160],"Through":[161],"this":[162],"survey":[163],"has":[165],"become":[166],"clear":[167],"there":[169,187,210],"need":[172,232],"comprehensive":[175,236],"framework":[176,237],"with":[182],"applications":[183],"medicine.":[185,263],"While":[186],"being":[190],"done":[191],"each":[193],"stage":[194],"an":[204,234],"attempt":[205],"create":[207],"models,":[209],"none":[212],"cover":[214],"all":[215],"stages":[218],"nor":[219],"they":[221],"covering":[222],"than":[224],"few":[226],"issues.":[228],"There":[229],"interdisciplinary,":[235],"combining":[238],"best":[240],"Impact":[243],"Assessments":[244],"(AIAs),":[245],"quantitative":[246],"qualitative":[248],"metrics,":[249],"checklists,":[250],"numerous":[253],"debates":[254],"discussions":[256],"on":[257]},"counts_by_year":[],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}
