{"id":"https://openalex.org/W3136715448","doi":"https://doi.org/10.38126/jspg180102","title":"Harnessing Artificial Intelligence and Machine Learning in Biomedical Applications with the Appropriate Regulation of Data","display_name":"Harnessing Artificial Intelligence and Machine Learning in Biomedical Applications with the Appropriate Regulation of Data","publication_year":2021,"publication_date":"2021-03-24","ids":{"openalex":"https://openalex.org/W3136715448","doi":"https://doi.org/10.38126/jspg180102","mag":"3136715448"},"language":"en","primary_location":{"id":"doi:10.38126/jspg180102","doi":"https://doi.org/10.38126/jspg180102","is_oa":true,"landing_page_url":"https://doi.org/10.38126/jspg180102","pdf_url":"https://www.sciencepolicyjournal.org/uploads/5/4/3/4/5434385/bonan_etal_jspg_v18.1.pdf","source":{"id":"https://openalex.org/S4210181119","display_name":"Journal of Science Policy & Governance","issn_l":"2372-2193","issn":["2372-2193"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","vabb-shw"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Science Policy &amp; Governance","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.sciencepolicyjournal.org/uploads/5/4/3/4/5434385/bonan_etal_jspg_v18.1.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078456165","display_name":"Nicole F. Bonan","orcid":"https://orcid.org/0000-0001-9053-8362","observed_orcids":["https://orcid.org/0000-0001-9053-8362"]},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicole Bonan","raw_affiliation_strings":["The George Washington University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The George Washington University","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111423691","display_name":"Jaclyn A. Brennan","orcid":"https://orcid.org/0000-0002-0757-546X","observed_orcids":["https://orcid.org/0000-0002-0757-546X"]},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jaclyn Brennan","raw_affiliation_strings":["The George Washington University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The George Washington University","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024289014","display_name":"Anthony Hennig","orcid":"https://orcid.org/0000-0002-0859-5892","observed_orcids":["https://orcid.org/0000-0002-0859-5892"]},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anthony Hennig","raw_affiliation_strings":["The George Washington University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The George Washington University","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083706914","display_name":"Mark Alexander Kaltenborn","orcid":"https://orcid.org/0000-0002-9604-7908","observed_orcids":["https://orcid.org/0000-0002-9604-7908"]},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark Alexander Kaltenborn","raw_affiliation_strings":["The George Washington University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The George Washington University","institution_ids":["https://openalex.org/I193531525"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I193531525"],"apc_list":null,"apc_paid":null,"fwci":0.0755,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4024167,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"18","issue":"01","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":0.7289999723434448,"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":0.7289999723434448,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.10570000112056732,"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/T14396","display_name":"Healthcare Regulation","score":0.10000000149011612,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/artificial-intelligence-in-medical-devices","display_name":"artificial intelligence in medical devices","score":0.8519999980926514},{"id":"https://openalex.org/keywords/machine-learning-in-healthcare","display_name":"machine learning in healthcare","score":0.8169999718666077},{"id":"https://openalex.org/keywords/medical-device-regulation","display_name":"medical device regulation","score":0.75},{"id":"https://openalex.org/keywords/federal-food-drug-and-cosmetic-act","display_name":"Federal Food, Drug, and Cosmetic Act","score":0.7009999752044678},{"id":"https://openalex.org/keywords/premarket-review","display_name":"premarket review","score":0.75},{"id":"https://openalex.org/keywords/dataset-bias","display_name":"data bias","score":0.5109999775886536},{"id":"https://openalex.org/keywords/health-data-security","display_name":"health data security","score":0.6200000047683716},{"id":"https://openalex.org/keywords/regulatory-policy","display_name":"regulatory policy","score":0.3569999933242798}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6617553234100342},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6396536231040955},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.6277092099189758},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.5493521094322205},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5315990447998047},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4944427013397217},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.46513882279396057},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3873053193092346},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3856123387813568},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11621469259262085},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.38126/jspg180102","doi":"https://doi.org/10.38126/jspg180102","is_oa":true,"landing_page_url":"https://doi.org/10.38126/jspg180102","pdf_url":"https://www.sciencepolicyjournal.org/uploads/5/4/3/4/5434385/bonan_etal_jspg_v18.1.pdf","source":{"id":"https://openalex.org/S4210181119","display_name":"Journal of Science Policy & Governance","issn_l":"2372-2193","issn":["2372-2193"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","vabb-shw"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Science Policy &amp; Governance","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.38126/jspg180102","doi":"https://doi.org/10.38126/jspg180102","is_oa":true,"landing_page_url":"https://doi.org/10.38126/jspg180102","pdf_url":"https://www.sciencepolicyjournal.org/uploads/5/4/3/4/5434385/bonan_etal_jspg_v18.1.pdf","source":{"id":"https://openalex.org/S4210181119","display_name":"Journal of Science Policy & Governance","issn_l":"2372-2193","issn":["2372-2193"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","vabb-shw"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Science Policy &amp; Governance","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8048999905586243}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3136715448.pdf","grobid_xml":"https://content.openalex.org/works/W3136715448.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1849618437","https://openalex.org/W2115272307","https://openalex.org/W2120229733","https://openalex.org/W2169699977","https://openalex.org/W2410364550","https://openalex.org/W2488472869","https://openalex.org/W2611577245","https://openalex.org/W2796849507","https://openalex.org/W2960630842","https://openalex.org/W2969615692","https://openalex.org/W2997468044","https://openalex.org/W3043086642","https://openalex.org/W3084392726","https://openalex.org/W3091468319","https://openalex.org/W3107314542","https://openalex.org/W3135955748","https://openalex.org/W4230740763","https://openalex.org/W4244204671","https://openalex.org/W6988977658"],"related_works":["https://openalex.org/W7030291740","https://openalex.org/W7028883275","https://openalex.org/W6983672237","https://openalex.org/W7032994602","https://openalex.org/W4407349175","https://openalex.org/W3016012157","https://openalex.org/W4406359293","https://openalex.org/W7128743953","https://openalex.org/W7128543618","https://openalex.org/W4205631222"],"abstract_inverted_index":{"Medical":[0],"devices":[1,35],"and":[2,13,24,33,36,52,87,97,107,117,131],"systems":[3,37,45,116],"are":[4,48],"increasingly":[5],"relying":[6],"on":[7],"software":[8],"using":[9,54],"artificial":[10],"intelligence":[11],"(AI)":[12],"machine":[14],"learning":[15],"(ML)":[16],"algorithms":[17],"to":[18,50,73,82,100,110],"increase":[19,25],"efficiency,":[20],"provide":[21],"better":[22],"diagnoses,":[23],"the":[26,64,85,94,103,120],"quality":[27],"of":[28,57,66,105,123,128],"care":[29],"for":[30],"patients.":[31],"AI-":[32],"ML-based":[34],"have":[38],"an":[39],"advantage":[40],"over":[41],"traditional":[42],"medical":[43,124],"device":[44],"because":[46],"they":[47],"designed":[49],"learn":[51],"improve":[53],"large":[55],"databases":[56,112,125],"actual":[58],"or":[59],"simulated":[60],"patient":[61],"data.":[62],"However,":[63],"use":[65],"these":[67],"datasets":[68],"could":[69],"introduce":[70],"harmful":[71],"biases":[72],"certain":[74],"populations,":[75],"restrict":[76],"economic":[77],"development":[78],"if":[79],"policy":[80],"were":[81],"change":[83],"in":[84],"future,":[86],"negatively":[88],"impact":[89],"healthcare.":[90],"We":[91],"recommend":[92],"amending":[93],"Food":[95],"Drug":[96],"Cosmetic":[98],"Act":[99],"explicitly":[101],"direct":[102],"Secretary":[104],"Health":[106],"Human":[108],"Services":[109],"regulate":[111],"used":[113],"by":[114],"AI":[115],"require":[118],"that":[119],"premarket":[121],"review":[122],"includes":[126],"assessments":[127],"potential":[129],"bias":[130],"security.":[132]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-06T12:05:46.655746","created_date":"2021-03-29T00:00:00"}
