{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T23:35:58Z","timestamp":1776900958772,"version":"3.51.2"},"publisher-location":"Cham","reference-count":9,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032167071","type":"print"},{"value":"9783032167088","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-16708-8_5","type":"book-chapter","created":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T22:42:32Z","timestamp":1776897752000},"page":"64-77","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["KaiMed: A Hybrid Multi-Agent AI Platform for\u00a0Clinical Reasoning and\u00a0Cross-Specialty Discovery"],"prefix":"10.1007","author":[{"given":"Francesco","family":"Barbato","sequence":"first","affiliation":[]},{"given":"Filippo","family":"Sorichetti","sequence":"additional","affiliation":[]},{"given":"Emanuele","family":"Ielo","sequence":"additional","affiliation":[]},{"given":"Lorenzo","family":"Megliola","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,4,1]]},"reference":[{"key":"5_CR1","doi-asserted-by":"crossref","unstructured":"Graber, M.L.: The incidence of diagnostic error in medicine. BMJ Qual. Saf. 22(Suppl. 2), ii21\u2013ii27 (2013)","DOI":"10.1136\/bmjqs-2012-001615"},{"key":"5_CR2","unstructured":"Lewis, P., et al.: Retrieval-augmented generation for knowledge-intensive NLP tasks. arXiv preprint arXiv:2005.11401 (2020)"},{"key":"5_CR3","doi-asserted-by":"publisher","first-page":"5994","DOI":"10.1038\/s41598-017-05778-z","volume":"7","author":"M Rotmensch","year":"2017","unstructured":"Rotmensch, M., Halpern, Y., Tlimat, A., Horng, S., Sontag, D.: Learning a health knowledge graph from electronic medical records. Sci. Rep. 7, 5994 (2017)","journal-title":"Sci. Rep."},{"issue":"9","key":"5_CR4","doi-asserted-by":"publisher","first-page":"727","DOI":"10.1136\/bmjqs-2013-002627","volume":"23","author":"H Singh","year":"2014","unstructured":"Singh, H., Meyer, A.N., Thomas, E.J.: The frequency of diagnostic errors in outpatient care. BMJ Qual. Saf. 23(9), 727\u2013731 (2014)","journal-title":"BMJ Qual. Saf."},{"issue":"1","key":"5_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41746-020-0221-y","volume":"3","author":"RT Sutton","year":"2020","unstructured":"Sutton, R.T., Pincock, D., Baumgart, D.C., Sadowski, D.C., Fedorak, R.N., Kroeker, K.I.: An overview of clinical decision support systems: benefits, risks, and strategies for success. npj Digit. Med. 3(1), 1\u201310 (2020)","journal-title":"npj Digit. Med."},{"key":"5_CR6","unstructured":"Tang, H., Liu, J., Zhao, F., Wang, S., Zhang, Y.: MEDAGENT: a multi-agent collaboration framework for solving real-world medical problems. arXiv preprint arXiv:2410.04585 (2024)"},{"key":"5_CR7","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.techfore.2015.12.019","volume":"126","author":"Y Wang","year":"2018","unstructured":"Wang, Y., Kung, L., Byrd, T.A.: Big data analytics: understanding its capabilities and potential benefits for healthcare organizations. Technol. Forecast. Soc. Chang. 126, 3\u201313 (2018)","journal-title":"Technol. Forecast. Soc. Chang."},{"key":"5_CR8","unstructured":"Wang, Y., Zhang, J., Lin, X., Zhao, H., Chen, M.: Medkg-llm: enhancing medical reasoning of LLMs via medical knowledge graphs. arXiv preprint arXiv:2410.04660 (2024)"},{"key":"5_CR9","unstructured":"Zhu, Y., Zhang, Z., Wang, Q., Huang, X., Zhou, Y.: MultiMedQA: benchmarking medical reasoning capabilities of LLMs across tasks and specialties. arXiv preprint arXiv:2409.05556 (2024)"}],"container-title":["Communications in Computer and Information Science","Artificial Intelligence for Healthcare, and Hybrid Models for Coupling Deductive and Inductive Reasoning"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-16708-8_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T22:42:33Z","timestamp":1776897753000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-16708-8_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032167071","9783032167088"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-16708-8_5","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"1 April 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HC_AIxIA_HYDRA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Joint Workshop on Artificial Intelligence for Healthcare, and Hybrid Models for Coupling Deductive and Inductive Reasoning","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bologna","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 October 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 October 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hc_aixia_hydra2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/sites.google.com\/unical.it\/hcaixia-hydra-2025\/home","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}