{"id":"https://openalex.org/W4391272776","doi":"https://doi.org/10.48550/arxiv.2401.14193","title":"Clinical Melanoma Diagnosis with Artificial Intelligence: Insights from a Prospective Multicenter Study","display_name":"Clinical Melanoma Diagnosis with Artificial Intelligence: Insights from a Prospective Multicenter Study","publication_year":2024,"publication_date":"2024-01-25","ids":{"openalex":"https://openalex.org/W4391272776","doi":"https://doi.org/10.48550/arxiv.2401.14193"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2401.14193","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2401.14193","pdf_url":"https://arxiv.org/pdf/2401.14193","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2401.14193","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086783034","display_name":"Lukas Heinlein","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Heinlein, Lukas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059931259","display_name":"Roman C. Maron","orcid":"https://orcid.org/0000-0002-2120-901X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maron, Roman C.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057226132","display_name":"Achim Hekler","orcid":"https://orcid.org/0000-0002-4974-2457"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hekler, Achim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079922466","display_name":"Sarah Haggenm\u00fcller","orcid":"https://orcid.org/0000-0002-7961-1781"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haggenm\u00fcller, Sarah","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069221894","display_name":"Christoph Wies","orcid":"https://orcid.org/0000-0001-7136-298X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wies, Christoph","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007887862","display_name":"Jochen Utikal","orcid":"https://orcid.org/0000-0001-5316-0241"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Utikal, Jochen S.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037516725","display_name":"Friedegund Meier","orcid":"https://orcid.org/0000-0003-4340-9706"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meier, Friedegund","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046389977","display_name":"Sarah Hobelsberger","orcid":"https://orcid.org/0000-0001-5703-324X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hobelsberger, Sarah","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088740883","display_name":"Frank Friedrich Gellrich","orcid":"https://orcid.org/0000-0002-2164-4644"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gellrich, Frank F.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026100807","display_name":"Mildred Sergon","orcid":"https://orcid.org/0000-0003-4303-2101"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sergon, Mildred","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044736874","display_name":"Axel Hauschild","orcid":"https://orcid.org/0000-0002-1212-9587"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hauschild, Axel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021906809","display_name":"Lars E. French","orcid":"https://orcid.org/0000-0002-4629-1486"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"French, Lars E.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040652983","display_name":"Lucie Heinzerling","orcid":"https://orcid.org/0000-0003-4587-007X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Heinzerling, Lucie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072592865","display_name":"Justin Gabriel Schlager","orcid":"https://orcid.org/0000-0002-8607-9367"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schlager, Justin G.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055619378","display_name":"Kamran Ghoreschi","orcid":"https://orcid.org/0000-0002-5526-7517"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ghoreschi, Kamran","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043659468","display_name":"Max Schlaak","orcid":"https://orcid.org/0000-0002-1663-8098"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schlaak, Max","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063448654","display_name":"Franz J. Hilke","orcid":"https://orcid.org/0000-0002-6564-454X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hilke, Franz J.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076600698","display_name":"Gabriela Poch","orcid":"https://orcid.org/0000-0003-3948-2505"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Poch, Gabriela","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107522423","display_name":"S\u00f6ren Korsing","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Korsing, S\u00f6ren","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056685282","display_name":"Carola Berking","orcid":"https://orcid.org/0000-0003-0229-8931"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Berking, Carola","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072203765","display_name":"Markus V. Heppt","orcid":"https://orcid.org/0000-0003-4603-1825"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Heppt, Markus V.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103703859","display_name":"Michael Erdmann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Erdmann, Michael","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025256131","display_name":"Sebastian Haferkamp","orcid":"https://orcid.org/0000-0002-3894-8345"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haferkamp, Sebastian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036085556","display_name":"Konstantin Drexler","orcid":"https://orcid.org/0009-0004-6601-6299"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Drexler, Konstantin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034365278","display_name":"Dirk Schadendorf","orcid":"https://orcid.org/0000-0003-3524-7858"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schadendorf, Dirk","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058670875","display_name":"Wiebke Sondermann","orcid":"https://orcid.org/0000-0002-3684-3523"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sondermann, Wiebke","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076078511","display_name":"Matthias Goebeler","orcid":"https://orcid.org/0000-0001-7095-9848"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Goebeler, Matthias","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008750058","display_name":"Bastian Schilling","orcid":"https://orcid.org/0000-0001-8859-4103"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schilling, Bastian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091513635","display_name":"Eva Krieghoff\u2010Henning","orcid":"https://orcid.org/0000-0001-8381-3100"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Krieghoff-Henning, Eva","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5086466437","display_name":"Titus J. Brinker","orcid":"https://orcid.org/0000-0002-3620-5919"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brinker, Titus J.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":30,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"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/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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":0.9854000210762024,"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/generalizability-theory","display_name":"Generalizability theory","score":0.8550153970718384},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.7148677706718445},{"id":"https://openalex.org/keywords/melanoma","display_name":"Melanoma","score":0.6793689727783203},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.6705020666122437},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5902499556541443},{"id":"https://openalex.org/keywords/prospective-cohort-study","display_name":"Prospective cohort study","score":0.5270053744316101},{"id":"https://openalex.org/keywords/diagnostic-accuracy","display_name":"Diagnostic accuracy","score":0.4344969093799591},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38384947180747986},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3716607689857483},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.3496606945991516},{"id":"https://openalex.org/keywords/dermatology","display_name":"Dermatology","score":0.3492259979248047},{"id":"https://openalex.org/keywords/oncology","display_name":"Oncology","score":0.3476158380508423},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3356461524963379},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.19594526290893555},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.097817063331604},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09323608875274658}],"concepts":[{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.8550153970718384},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.7148677706718445},{"id":"https://openalex.org/C2777658100","wikidata":"https://www.wikidata.org/wiki/Q180614","display_name":"Melanoma","level":2,"score":0.6793689727783203},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.6705020666122437},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5902499556541443},{"id":"https://openalex.org/C188816634","wikidata":"https://www.wikidata.org/wiki/Q2113324","display_name":"Prospective cohort study","level":2,"score":0.5270053744316101},{"id":"https://openalex.org/C3020132585","wikidata":"https://www.wikidata.org/wiki/Q2671652","display_name":"Diagnostic accuracy","level":2,"score":0.4344969093799591},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38384947180747986},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3716607689857483},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.3496606945991516},{"id":"https://openalex.org/C16005928","wikidata":"https://www.wikidata.org/wiki/Q171171","display_name":"Dermatology","level":1,"score":0.3492259979248047},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.3476158380508423},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3356461524963379},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.19594526290893555},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.097817063331604},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09323608875274658},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C502942594","wikidata":"https://www.wikidata.org/wiki/Q3421914","display_name":"Cancer research","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2401.14193","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2401.14193","pdf_url":"https://arxiv.org/pdf/2401.14193","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"doi:10.48550/arxiv.2401.14193","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2401.14193","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2401.14193","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2401.14193","pdf_url":"https://arxiv.org/pdf/2401.14193","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.4099999964237213,"display_name":"Good health and well-being"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310693","display_name":"Deutsches Krebsforschungszentrum","ror":"https://ror.org/04cdgtt98"},{"id":"https://openalex.org/F4320321721","display_name":"Bundesministerium f\u00fcr Gesundheit","ror":"https://ror.org/05vp4ka74"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"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/W2167883292","https://openalex.org/W2072726113","https://openalex.org/W2759724498"],"abstract_inverted_index":{"Early":[0],"detection":[1],"of":[2,8,56,58,68,106,144,198],"melanoma,":[3],"a":[4,63,73,109,181,199,216],"potentially":[5],"lethal":[6],"type":[7],"skin":[9],"cancer":[10],"with":[11,135],"high":[12],"prevalence":[13],"worldwide,":[14],"improves":[15],"patient":[16],"prognosis.":[17],"In":[18],"retrospective":[19],"studies,":[20],"artificial":[21],"intelligence":[22],"(AI)":[23],"has":[24],"proven":[25],"to":[26,104,233],"be":[27],"helpful":[28],"for":[29,76,96],"enhancing":[30],"melanoma":[31,60,125],"detection.":[32],"However,":[33],"there":[34],"are":[35,45,88],"few":[36],"prospective":[37],"studies":[38,44],"confirming":[39],"these":[40],"promising":[41],"results.":[42],"Existing":[43],"limited":[46],"by":[47,99],"low":[48],"sample":[49],"sizes,":[50],"too":[51],"homogenous":[52],"datasets,":[53],"or":[54],"lack":[55],"inclusion":[57],"rare":[59,124],"subtypes,":[61,126],"preventing":[62],"fair":[64],"and":[65,70,127,150,154],"thorough":[66],"evaluation":[67],"AI":[69,161,228],"its":[71,77,101,156],"generalizability,":[72],"crucial":[74],"aspect":[75],"application":[78],"in":[79,237],"the":[80,133,152,160,196,213,231],"clinical":[81],"setting.":[82],"Therefore,":[83],"we":[84],"assessed":[85],"'All":[86],"Data":[87],"Ext'":[89],"(ADAE),":[90],"an":[91],"established":[92],"open-source":[93],"ensemble":[94],"algorithm":[95,134,214],"detecting":[97],"melanomas,":[98],"comparing":[100],"diagnostic":[102],"accuracy":[103,165],"that":[105],"dermatologists":[107,167,235],"on":[108,220],"prospectively":[110],"collected,":[111],"external,":[112],"heterogeneous":[113,222],"test":[114],"set":[115],"comprising":[116,225],"eight":[117],"distinct":[118],"hospitals,":[119],"four":[120],"different":[121],"camera":[122],"setups,":[123],"special":[128],"anatomical":[129],"sites.":[130],"We":[131],"advanced":[132],"real":[136,142],"test-time":[137],"augmentation":[138],"(R-TTA,":[139],"i.e.":[140],"providing":[141],"photographs":[143],"lesions":[145],"taken":[146],"from":[147],"multiple":[148],"angles":[149],"averaging":[151],"predictions),":[153],"evaluated":[155],"generalization":[157],"capabilities.":[158],"Overall,":[159],"showed":[162],"higher":[163,182],"balanced":[164],"than":[166],"(0.798,":[168],"95%":[169,176,185,191,203,208],"confidence":[170],"interval":[171],"(CI)":[172],"0.779-0.814":[173],"vs.":[174,189,206],"0.781,":[175],"CI":[177,186,192,204,209],"0.760-0.802;":[178],"p<0.001),":[179],"obtaining":[180],"sensitivity":[183],"(0.921,":[184],"0.900-":[187],"0.942":[188],"0.734,":[190],"0.701-0.770;":[193],"p<0.001)":[194],"at":[195],"cost":[197],"lower":[200],"specificity":[201],"(0.673,":[202],"0.641-0.702":[205],"0.828,":[207],"0.804-0.852;":[210],"p<0.001).":[211],"As":[212],"exhibited":[215],"significant":[217],"performance":[218],"advantage":[219],"our":[221],"dataset":[223],"exclusively":[224],"melanoma-suspicious":[226],"lesions,":[227],"may":[229],"offer":[230],"potential":[232],"support":[234],"particularly":[236],"diagnosing":[238],"challenging":[239],"cases.":[240]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}