{"id":"https://openalex.org/W7154975827","doi":"https://doi.org/10.48550/arxiv.2604.15456","title":"DeepER-Med: Advancing Deep Evidence-Based Research in Medicine Through Agentic AI","display_name":"DeepER-Med: Advancing Deep Evidence-Based Research in Medicine Through Agentic AI","publication_year":2026,"publication_date":"2026-04-16","ids":{"openalex":"https://openalex.org/W7154975827","doi":"https://doi.org/10.48550/arxiv.2604.15456"},"language":"en","primary_location":{"id":"pmh:oai:pubmedcentral.nih.gov:13317644","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13317644/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ArXiv","raw_type":"Text"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13317644/","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134034402","display_name":"Zhizheng Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Zhizheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058918482","display_name":"Chih-Hsuan Wei","orcid":"https://orcid.org/0000-0001-5094-7321"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei, Chih-Hsuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134030353","display_name":"Joey Chan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chan, Joey","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044947146","display_name":"Robert Leaman","orcid":"https://orcid.org/0000-0003-3296-5766"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Leaman, Robert","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134090121","display_name":"Chi-Ping Day","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Day, Chi-Ping","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101933185","display_name":"Chuan Wu","orcid":"https://orcid.org/0000-0002-8459-7208"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Chuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029048638","display_name":"Mark A. Knepper","orcid":"https://orcid.org/0000-0002-2276-8091"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Knepper, Mark A","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133224360","display_name":"Antolin Serrano Farias","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Farias, Antolin Serrano","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134032824","display_name":"Jordina Rincon-Torroella","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rincon-Torroella, Jordina","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134008160","display_name":"Hasan Slika","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Slika, Hasan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134073333","display_name":"Betty Tyler","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tyler, Betty","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019803127","display_name":"Ryan H. Nguyen","orcid":"https://orcid.org/0000-0002-8863-6649"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nguyen, Ryan Huu-Tuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025585055","display_name":"Asmita Indurkar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Indurkar, Asmita","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016037065","display_name":"M\u00e9lanie H\u00e9bert","orcid":"https://orcid.org/0000-0002-5738-4362"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H\u00e9bert, M\u00e9lanie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067851621","display_name":"Shubo Tian","orcid":"https://orcid.org/0000-0001-6415-1439"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tian, Shubo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013808537","display_name":"Lauren He","orcid":"https://orcid.org/0000-0003-1834-8825"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Lauren","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028457030","display_name":"Noor Naffakh","orcid":"https://orcid.org/0000-0001-5195-8313"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Naffakh, Noor","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094218846","display_name":"Aseem Aseem","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aseem, Aseem","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114618053","display_name":"Nicholas Wan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wan, Nicholas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134081976","display_name":"Emily Y Chew","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chew, Emily Y","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134050246","display_name":"Tiarnan D L Keenan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Keenan, Tiarnan D L","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134034259","display_name":"Zhiyong Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Zhiyong","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":0.5192000269889832,"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":0.5192000269889832,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.10679999738931656,"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/T10028","display_name":"Topic Modeling","score":0.09019999951124191,"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/workflow","display_name":"Workflow","score":0.6204000115394592},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.557200014591217},{"id":"https://openalex.org/keywords/multidisciplinary-approach","display_name":"Multidisciplinary approach","score":0.4871000051498413},{"id":"https://openalex.org/keywords/medical-research","display_name":"Medical research","score":0.4672999978065491},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.4424999952316284},{"id":"https://openalex.org/keywords/evidence-based-medicine","display_name":"Evidence-based medicine","score":0.40639999508857727},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.3743000030517578},{"id":"https://openalex.org/keywords/precision-medicine","display_name":"Precision medicine","score":0.3671000003814697},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.36559998989105225}],"concepts":[{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6204000115394592},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.557200014591217},{"id":"https://openalex.org/C22467394","wikidata":"https://www.wikidata.org/wiki/Q849359","display_name":"Multidisciplinary approach","level":2,"score":0.4871000051498413},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4772000014781952},{"id":"https://openalex.org/C106977388","wikidata":"https://www.wikidata.org/wiki/Q2752427","display_name":"Medical research","level":2,"score":0.4672999978065491},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.4424999952316284},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4350999891757965},{"id":"https://openalex.org/C19648533","wikidata":"https://www.wikidata.org/wiki/Q691640","display_name":"Evidence-based medicine","level":3,"score":0.40639999508857727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40380001068115234},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.3743000030517578},{"id":"https://openalex.org/C163763905","wikidata":"https://www.wikidata.org/wiki/Q17075943","display_name":"Precision medicine","level":2,"score":0.3671000003814697},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.36559998989105225},{"id":"https://openalex.org/C2777655017","wikidata":"https://www.wikidata.org/wiki/Q1501161","display_name":"Toolbox","level":2,"score":0.3398999869823456},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.33480000495910645},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.33379998803138733},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.33090001344680786},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.3151000142097473},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3149000108242035},{"id":"https://openalex.org/C184356942","wikidata":"https://www.wikidata.org/wiki/Q830382","display_name":"Best practice","level":2,"score":0.3118000030517578},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.2879999876022339},{"id":"https://openalex.org/C18296254","wikidata":"https://www.wikidata.org/wiki/Q1395219","display_name":"Skepticism","level":2,"score":0.28110000491142273},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.27309998869895935},{"id":"https://openalex.org/C63527458","wikidata":"https://www.wikidata.org/wiki/Q5133829","display_name":"Clinical decision support system","level":3,"score":0.27140000462532043},{"id":"https://openalex.org/C55587333","wikidata":"https://www.wikidata.org/wiki/Q1133029","display_name":"Engineering ethics","level":1,"score":0.26589998602867126},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.2630999982357025},{"id":"https://openalex.org/C509550671","wikidata":"https://www.wikidata.org/wiki/Q126945","display_name":"Medical education","level":1,"score":0.257099986076355},{"id":"https://openalex.org/C2989179672","wikidata":"https://www.wikidata.org/wiki/Q6806500","display_name":"Clinical decision making","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.2547000050544739},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:pubmedcentral.nih.gov:13317644","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13317644/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ArXiv","raw_type":"Text"},{"id":"doi:10.48550/arxiv.2604.15456","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.15456","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":"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":"pmh:oai:pubmedcentral.nih.gov:13317644","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13317644/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ArXiv","raw_type":"Text"},"sustainable_development_goals":[{"score":0.4969600439071655,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Trustworthiness":[0],"and":[1,15,37,45,57,63,109,123,148,213],"transparency":[2],"are":[3],"essential":[4],"for":[5,48,61,94,210],"the":[6,67,174,183],"clinical":[7,191,202],"adoption":[8],"of":[9,54,69,112,116,154,176,186],"artificial":[10],"intelligence":[11],"(AI)":[12],"in":[13,204],"healthcare":[14],"biomedical":[16,156],"research.":[17],"Recent":[18],"deep":[19,103],"research":[20,105,119,140,146,212],"systems":[21,42],"aim":[22],"to":[23,65],"accelerate":[24],"evidence-grounded":[25,135],"scientific":[26,178],"discovery":[27],"by":[28,150],"integrating":[29],"AI":[30,99],"agents":[31],"with":[32,96,201],"multi-hop":[33],"information":[34],"retrieval,":[35],"reasoning,":[36],"synthesis.":[38,125],"However,":[39],"most":[40],"existing":[41],"lack":[43],"explicit":[44,108],"inspectable":[46,110],"criteria":[47],"evidence":[49,124],"appraisal,":[50],"creating":[51],"a":[52,89,151],"risk":[53],"compounding":[55],"errors":[56],"making":[58],"it":[59],"difficult":[60],"researchers":[62],"clinicians":[64],"assess":[66],"reliability":[68],"their":[70],"outputs.":[71],"In":[72],"parallel,":[73],"current":[74],"benchmarking":[75],"approaches":[76],"rarely":[77],"evaluate":[78],"performance":[79],"on":[80],"complex,":[81],"real-world":[82,190],"medical":[83,104,145,211],"questions.":[84],"Here,":[85],"we":[86,130],"introduce":[87],"DeepER-Med,":[88],"Deep":[90],"Evidence-based":[91],"Research":[92],"framework":[93],"Medicine":[95],"an":[97,107,134],"agentic":[98,121],"system.":[100],"DeepER-Med":[101,163,187],"frames":[102],"as":[106],"workflow":[111],"evidence-based":[113],"generation,":[114],"consisting":[115],"three":[117],"modules:":[118],"planning,":[120],"collaboration,":[122],"To":[126],"support":[127],"realistic":[128],"evaluation,":[129],"also":[131],"present":[132],"DeepER-MedQA,":[133],"dataset":[136],"comprising":[137],"100":[138],"expert-level":[139],"questions":[141],"derived":[142],"from":[143],"authentic":[144],"scenarios":[147],"curated":[149],"multidisciplinary":[152],"panel":[153],"11":[155],"experts.":[157],"Expert":[158],"manual":[159],"evaluation":[160],"demonstrates":[161],"that":[162,197],"consistently":[164],"outperforms":[165],"widely":[166],"used":[167],"production-grade":[168],"platforms":[169],"across":[170],"multiple":[171],"criteria,":[172],"including":[173],"generation":[175],"novel":[177],"insights.":[179],"We":[180],"further":[181],"demonstrate":[182],"practical":[184],"utility":[185],"through":[188],"eight":[189],"cases.":[192],"Human":[193],"clinician":[194],"assessment":[195],"indicates":[196],"DeepER-Med's":[198],"conclusions":[199],"align":[200],"recommendations":[203],"seven":[205],"cases,":[206],"highlighting":[207],"its":[208],"potential":[209],"decision":[214],"support.":[215]},"counts_by_year":[],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2026-04-21T00:00:00"}
