{"id":"https://openalex.org/W3202722194","doi":"https://doi.org/10.1109/jbhi.2021.3117575","title":"Tufts Dental Database: A Multimodal Panoramic X-Ray Dataset for Benchmarking Diagnostic Systems","display_name":"Tufts Dental Database: A Multimodal Panoramic X-Ray Dataset for Benchmarking Diagnostic Systems","publication_year":2021,"publication_date":"2021-10-04","ids":{"openalex":"https://openalex.org/W3202722194","doi":"https://doi.org/10.1109/jbhi.2021.3117575","mag":"3202722194","pmid":"https://pubmed.ncbi.nlm.nih.gov/34606466"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2021.3117575","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jbhi.2021.3117575","pdf_url":"https://ieeexplore.ieee.org/ielx7/6221020/9757026/09557804.pdf","source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/6221020/9757026/09557804.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069074343","display_name":"Karen Panetta","orcid":"https://orcid.org/0000-0001-9435-4536"},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karen Panetta","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA"],"raw_orcid":"https://orcid.org/0000-0001-9435-4536","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043573345","display_name":"Rahul Rajendran","orcid":"https://orcid.org/0000-0002-2245-0956"},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rahul Rajendran","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA"],"raw_orcid":"https://orcid.org/0000-0002-2245-0956","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108267367","display_name":"Aruna Ramesh","orcid":null},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aruna Ramesh","raw_affiliation_strings":["School of Dental Medicine, Tufts University, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Dental Medicine, Tufts University, Boston, MA, USA","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088944058","display_name":"Shishir Paramathma Rao","orcid":"https://orcid.org/0000-0002-4365-8684"},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shishir Rao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048285657","display_name":"Sos \u0421. Agaian","orcid":"https://orcid.org/0000-0003-4601-4507"},"institutions":[{"id":"https://openalex.org/I174216632","display_name":"City University of New York","ror":"https://ror.org/00453a208","country_code":"US","type":"education","lineage":["https://openalex.org/I174216632"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sos Agaian","raw_affiliation_strings":["City University of New York, New York, NY, USA"],"raw_orcid":"https://orcid.org/0000-0003-4601-4507","affiliations":[{"raw_affiliation_string":"City University of New York, New York, NY, USA","institution_ids":["https://openalex.org/I174216632"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":20.4,"has_fulltext":true,"cited_by_count":162,"citation_normalized_percentile":{"value":0.99749041,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"26","issue":"4","first_page":"1650","last_page":"1659"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11363","display_name":"Dental Radiography and Imaging","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3504","display_name":"Oral Surgery"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11363","display_name":"Dental Radiography and Imaging","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3504","display_name":"Oral Surgery"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9955000281333923,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6760587096214294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6651242971420288},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6624346971511841},{"id":"https://openalex.org/keywords/radiography","display_name":"Radiography","score":0.6536467671394348},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5626367330551147},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.5215044617652893},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47093430161476135},{"id":"https://openalex.org/keywords/panoramic-radiograph","display_name":"Panoramic radiograph","score":0.4641754627227783},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4546932578086853},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4507078528404236},{"id":"https://openalex.org/keywords/abnormality","display_name":"Abnormality","score":0.41933026909828186},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3275674879550934},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3195475935935974},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.23596957325935364}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6760587096214294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6651242971420288},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6624346971511841},{"id":"https://openalex.org/C36454342","wikidata":"https://www.wikidata.org/wiki/Q245341","display_name":"Radiography","level":2,"score":0.6536467671394348},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5626367330551147},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.5215044617652893},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47093430161476135},{"id":"https://openalex.org/C100548800","wikidata":"https://www.wikidata.org/wiki/Q743868","display_name":"Panoramic radiograph","level":3,"score":0.4641754627227783},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4546932578086853},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4507078528404236},{"id":"https://openalex.org/C50965678","wikidata":"https://www.wikidata.org/wiki/Q2724302","display_name":"Abnormality","level":2,"score":0.41933026909828186},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3275674879550934},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3195475935935974},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.23596957325935364},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011862","descriptor_name":"Radiography, Panoramic","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011862","descriptor_name":"Radiography, Panoramic","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011862","descriptor_name":"Radiography, Panoramic","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014070","descriptor_name":"Tooth","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D014070","descriptor_name":"Tooth","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D014070","descriptor_name":"Tooth","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D014965","descriptor_name":"X-Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014965","descriptor_name":"X-Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014965","descriptor_name":"X-Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2021.3117575","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jbhi.2021.3117575","pdf_url":"https://ieeexplore.ieee.org/ielx7/6221020/9757026/09557804.pdf","source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:34606466","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34606466","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":{"id":"doi:10.1109/jbhi.2021.3117575","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jbhi.2021.3117575","pdf_url":"https://ieeexplore.ieee.org/ielx7/6221020/9757026/09557804.pdf","source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3405798594","display_name":null,"funder_award_id":"-R2-CX-","funder_id":"https://openalex.org/F4320337430","funder_display_name":"National Institute of Justice"}],"funders":[{"id":"https://openalex.org/F4320337430","display_name":"National Institute of Justice","ror":"https://ror.org/00v8p7w89"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3202722194.pdf","grobid_xml":"https://content.openalex.org/works/W3202722194.grobid-xml"},"referenced_works_count":76,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W1993684657","https://openalex.org/W1997211427","https://openalex.org/W1998156127","https://openalex.org/W2010624390","https://openalex.org/W2017611557","https://openalex.org/W2018656768","https://openalex.org/W2027117936","https://openalex.org/W2029752410","https://openalex.org/W2058333183","https://openalex.org/W2072650454","https://openalex.org/W2074049473","https://openalex.org/W2119922429","https://openalex.org/W2125188192","https://openalex.org/W2125732958","https://openalex.org/W2128505783","https://openalex.org/W2129387542","https://openalex.org/W2139375301","https://openalex.org/W2146907897","https://openalex.org/W2154549868","https://openalex.org/W2172620345","https://openalex.org/W2194775991","https://openalex.org/W2246305771","https://openalex.org/W2279098554","https://openalex.org/W2307036059","https://openalex.org/W2416970428","https://openalex.org/W2532358561","https://openalex.org/W2533800772","https://openalex.org/W2560023338","https://openalex.org/W2565639579","https://openalex.org/W2582120320","https://openalex.org/W2617749823","https://openalex.org/W2630837129","https://openalex.org/W2762439315","https://openalex.org/W2782116667","https://openalex.org/W2787091153","https://openalex.org/W2790011672","https://openalex.org/W2800706558","https://openalex.org/W2883741661","https://openalex.org/W2884436604","https://openalex.org/W2886717759","https://openalex.org/W2910913949","https://openalex.org/W2912989244","https://openalex.org/W2918471352","https://openalex.org/W2920073091","https://openalex.org/W2921406441","https://openalex.org/W2943412658","https://openalex.org/W2947000504","https://openalex.org/W2951985572","https://openalex.org/W2962879957","https://openalex.org/W2962884052","https://openalex.org/W2963150697","https://openalex.org/W2963163009","https://openalex.org/W2973552874","https://openalex.org/W2983894279","https://openalex.org/W2991580181","https://openalex.org/W2997007780","https://openalex.org/W2997165276","https://openalex.org/W3008341465","https://openalex.org/W3016417837","https://openalex.org/W3017228718","https://openalex.org/W3022243115","https://openalex.org/W3049469327","https://openalex.org/W3089600429","https://openalex.org/W3108776516","https://openalex.org/W3128601380","https://openalex.org/W3132455321","https://openalex.org/W3196929218","https://openalex.org/W4246193833","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6690835017","https://openalex.org/W6695314431","https://openalex.org/W6739696289"],"related_works":["https://openalex.org/W2437595322","https://openalex.org/W2326639392","https://openalex.org/W1976981864","https://openalex.org/W2035312924","https://openalex.org/W628926314","https://openalex.org/W1503669380","https://openalex.org/W2400063961","https://openalex.org/W2415131246","https://openalex.org/W1963508548","https://openalex.org/W2134926324"],"abstract_inverted_index":{"The":[0,61,94,138,202],"application":[1],"of":[2,17,25,81,90,96,133,140,190,204,212],"Artificial":[3],"Intelligence":[4],"in":[5,48,75,130,219],"dental":[6,26,53,84,176,193,220],"healthcare":[7],"has":[8,72],"a":[9,65,167],"very":[10],"promising":[11],"role":[12],"due":[13],"to":[14,56,152,208,230],"the":[15,45,113,117,126,131,210,228,232],"abundance":[16],"imagery":[18],"and":[19,35,92,116,135,158,162,180,199,217,227],"non-imagery-based":[20],"clinical":[21,33,58],"data.":[22],"Expert":[23],"analysis":[24,170],"radiographs":[27],"can":[28,149],"provide":[29],"crucial":[30],"information":[31],"for":[32,171,175],"diagnosis":[34],"treatment.":[36],"In":[37],"recent":[38],"years,":[39],"Convolutional":[40],"Neural":[41],"Networks":[42],"have":[43],"achieved":[44],"highest":[46],"accuracy":[47],"various":[49,172,191],"benchmarks,":[50],"including":[51],"analyzing":[52],"X-ray":[54,67],"images":[55,86,98],"improve":[57],"care":[59],"quality.":[60],"Tufts":[62],"Dental":[63],"Database,":[64],"new":[66],"panoramic":[68,83,192,221],"radiography":[69,85,97],"image":[70,178,181,194],"dataset,":[71],"been":[73],"presented":[74],"this":[76,141,205],"paper.":[77],"This":[78,120],"dataset":[79,123,147,206],"consists":[80],"1000":[82],"with":[87,197],"expert":[88],"labeling":[89],"abnormalities":[91],"teeth.":[93],"classification":[95,218],"was":[99],"performed":[100],"based":[101],"on":[102,112],"five":[103],"different":[104],"levels:":[105],"anatomical":[106],"location,":[107],"peripheral":[108],"characteristics,":[109],"radiodensity,":[110],"effects":[111],"surrounding":[114],"structure,":[115],"abnormality":[118,164,215],"category.":[119],"first-of-its-kind":[121],"multimodal":[122],"also":[124],"includes":[125],"radiologist's":[127,233],"expertise":[128,155,234],"captured":[129],"form":[132],"eye-tracking":[134],"think-aloud":[136],"protocol.":[137],"contributions":[139],"work":[142],"are":[143],"1)":[144],"publicly":[145],"available":[146],"that":[148],"help":[150],"researchers":[151],"incorporate":[153],"human":[154],"into":[156,235],"AI":[157],"achieve":[159],"more":[160],"robust":[161],"accurate":[163],"detection;":[165],"2)":[166],"benchmark":[168],"performance":[169],"state-of-the-art":[173],"systems":[174],"radiograph":[177],"enhancement":[179],"segmentation":[182,198,225],"using":[183],"deep":[184],"learning;":[185],"3)":[186],"an":[187],"in-depth":[188],"review":[189],"datasets,":[195],"along":[196],"detection":[200,216],"systems.":[201],"release":[203],"aims":[207],"propel":[209],"development":[211],"AI-powered":[213],"automated":[214],"radiographs,":[222],"enhance":[223],"tooth":[224],"algorithms,":[226],"ability":[229],"distill":[231],"AI.":[236]},"counts_by_year":[{"year":2026,"cited_by_count":19},{"year":2025,"cited_by_count":45},{"year":2024,"cited_by_count":47},{"year":2023,"cited_by_count":40},{"year":2022,"cited_by_count":11}],"updated_date":"2026-06-30T13:55:48.251075","created_date":"2025-10-10T00:00:00"}
