{"id":"https://openalex.org/W7171967461","doi":"https://doi.org/10.48550/arxiv.2607.27428","title":"Rethinking Artificial Intelligence in Medical Imaging: Assumptions, Reality, and Reframing","display_name":"Rethinking Artificial Intelligence in Medical Imaging: Assumptions, Reality, and Reframing","publication_year":2026,"publication_date":"2026-07-29","ids":{"openalex":"https://openalex.org/W7171967461","doi":"https://doi.org/10.48550/arxiv.2607.27428"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.27428","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.27428","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2607.27428","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5144116267","display_name":"Arman Rahmim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rahmim, Arman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054705753","display_name":"Nourhan Bayasi","orcid":"https://orcid.org/0000-0003-4653-6081"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bayasi, Nourhan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5144128452","display_name":"Xiaoxiao Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Xiaoxiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001179545","display_name":"Babak Saboury","orcid":"https://orcid.org/0000-0002-8632-6292"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saboury, Babak","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5144118536","display_name":"Fereshteh Yousefirizi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yousefirizi, Fereshteh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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":0.7572000026702881,"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":0.7572000026702881,"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":0.0892999991774559,"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":0.03200000151991844,"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/cognitive-reframing","display_name":"Cognitive reframing","score":0.8521999716758728},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5429999828338623},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4758000075817108},{"id":"https://openalex.org/keywords/foundation","display_name":"Foundation (evidence)","score":0.43959999084472656},{"id":"https://openalex.org/keywords/dominance","display_name":"Dominance (genetics)","score":0.40230000019073486},{"id":"https://openalex.org/keywords/metaphor","display_name":"Metaphor","score":0.3264000117778778}],"concepts":[{"id":"https://openalex.org/C187029079","wikidata":"https://www.wikidata.org/wiki/Q958679","display_name":"Cognitive reframing","level":2,"score":0.8521999716758728},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5429999828338623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49790000915527344},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4758000075817108},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.43959999084472656},{"id":"https://openalex.org/C151913843","wikidata":"https://www.wikidata.org/wiki/Q3454555","display_name":"Dominance (genetics)","level":3,"score":0.40230000019073486},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3871999979019165},{"id":"https://openalex.org/C55587333","wikidata":"https://www.wikidata.org/wiki/Q1133029","display_name":"Engineering ethics","level":1,"score":0.38679999113082886},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.34290000796318054},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.33340001106262207},{"id":"https://openalex.org/C2778311575","wikidata":"https://www.wikidata.org/wiki/Q18534","display_name":"Metaphor","level":2,"score":0.3264000117778778},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.32589998841285706},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.31940001249313354},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3160000145435333},{"id":"https://openalex.org/C106977388","wikidata":"https://www.wikidata.org/wiki/Q2752427","display_name":"Medical research","level":2,"score":0.3149999976158142},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.3003000020980835},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.28279998898506165},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.26980000734329224},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.266400009393692},{"id":"https://openalex.org/C89057211","wikidata":"https://www.wikidata.org/wiki/Q432197","display_name":"Collective intelligence","level":2,"score":0.2517000138759613},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.27428","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.27428","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2607.27428","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.27428","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.4222167730331421,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Medical":[0],"imaging":[1],"has":[2,19],"served":[3],"as":[4],"primary":[5],"proving":[6],"ground":[7],"for":[8],"clinical":[9,61,82,118,129,156],"artificial":[10],"intelligence":[11],"(AI),":[12],"yet":[13],"a":[14,34,48,80,140,145],"decade":[15],"of":[16,36,71,76,86,97,107,123,147],"intense":[17],"research":[18],"not":[20,32],"translated":[21],"into":[22],"proportionate":[23],"bedside":[24],"impact.":[25],"We":[26],"argue":[27],"that":[28,151],"this":[29,72],"gap":[30,112],"is":[31],"primarily":[33],"product":[35],"insufficient":[37],"algorithmic":[38],"performance,":[39],"inadequate":[40],"regulation,":[41],"or":[42],"limited":[43],"explainability.":[44],"Rather,":[45],"it":[46],"reflects":[47],"structural":[49],"misalignment,":[50],"between":[51,113],"how":[52,60],"AI":[53,125,150],"systems":[54],"are":[55,63],"designed":[56],"and":[57,59,91,116,120,138],"evaluated,":[58],"decisions":[62],"made.":[64],"This":[65],"Perspective":[66],"identifies":[67],"six":[68],"interconnected":[69],"dimensions":[70],"misalignment:":[73],"the":[74,84,94,104,111,121,136],"dominance":[75],"pixel-only":[77],"models":[78,99],"in":[79,100,144],"multimodal":[81],"world;":[83],"erosion":[85],"physician":[87],"trust":[88],"through":[89],"opaque":[90],"inflexible":[92],"systems;":[93],"unfulfilled":[95],"promise":[96],"foundation":[98],"data-sparse":[101],"medical":[102],"domains;":[103],"persistent":[105],"bottleneck":[106],"non-shareable,":[108],"under-curated":[109],"datasets;":[110],"validated":[114],"algorithms":[115],"deployable":[117],"platforms;":[119],"failure":[122],"prediction-centric":[124],"to":[126],"generate":[127],"actionable":[128],"guidance.":[130],"For":[131],"each":[132],"dimension,":[133],"we":[134],"reframe":[135],"problem":[137],"propose":[139],"path":[141],"forward,":[142],"culminating":[143],"vision":[146],"agentic,":[148],"physician-aligned":[149],"extends,":[152],"rather":[153],"than":[154],"replaces,":[155],"judgment.":[157]},"counts_by_year":[],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2026-08-01T00:00:00"}
