{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T22:40:53Z","timestamp":1776897653761,"version":"3.51.2"},"publisher-location":"Cham","reference-count":6,"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_8","type":"book-chapter","created":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T22:07:10Z","timestamp":1776895630000},"page":"99-104","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Automatic Explainable Progress Prediction of\u00a0Wet Age-Related Macular Degeneration"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-6604-7991","authenticated-orcid":false,"given":"Riccardo","family":"Fidanza","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3162-388X","authenticated-orcid":false,"given":"Daniele","family":"Meli","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5656-820X","authenticated-orcid":false,"given":"Emilia","family":"Maggio","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,4,1]]},"reference":[{"issue":"1","key":"8_CR1","doi-asserted-by":"publisher","first-page":"e1918962","DOI":"10.1001\/jamanetworkopen.2019.18962","volume":"3","author":"RJ Desai","year":"2020","unstructured":"Desai, R.J., Wang, S.V., Vaduganathan, M., Evers, T., Schneeweiss, S.: Comparison of machine learning methods with traditional models for use of administrative claims with electronic medical records to predict heart failure outcomes. JAMA Netw. Open 3(1), e1918962\u2013e1918962 (2020)","journal-title":"JAMA Netw. Open"},{"issue":"1","key":"8_CR2","doi-asserted-by":"publisher","first-page":"1014","DOI":"10.1038\/s41597-024-03844-6","volume":"11","author":"Y Hu","year":"2024","unstructured":"Hu, Y., et al.: Amd-sd: an optical coherence tomography image dataset for wet amd lesions segmentation. Sci. Data 11(1), 1014 (2024)","journal-title":"Sci. Data"},{"key":"8_CR3","unstructured":"Kansagara, D., Gleitsmann, K., Gillingham, M., O\u2019Neil, M., Saha, S.: Nutritional supplements for age-related macular degeneration: A systematic review. Tech. rep., Department of Veterans Affairs (US), Washington (DC) (Jan 2012), https:\/\/www.ncbi.nlm.nih.gov\/books\/NBK84266\/, vA Evidence-based Synthesis Program Reports"},{"key":"8_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.ajo.2020.12.034","volume":"226","author":"B Liefers","year":"2021","unstructured":"Liefers, B., et al.: Quantification of key retinal features in early and late age-related macular degeneration using deep learning. Am. J. Ophthalmol. 226, 1\u201312 (2021)","journal-title":"Am. J. Ophthalmol."},{"key":"8_CR5","doi-asserted-by":"crossref","unstructured":"Mete, M., Iacovello, D., Maggio, E.: Novel diagnosis and therapeutics approaches in retina diseases (2024)","DOI":"10.3390\/life14101218"},{"key":"8_CR6","doi-asserted-by":"crossref","unstructured":"Wang, Z., Keane, P.A., Chiang, M., Cheung, C.Y., Wong, T.Y., Ting, D.S.W.: Artificial intelligence and deep learning in ophthalmology. Artifi. Intell. Med. 1519\u20131552 (2022)","DOI":"10.1007\/978-3-030-64573-1_200"}],"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_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T22:07:11Z","timestamp":1776895631000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-16708-8_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032167071","9783032167088"],"references-count":6,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-16708-8_8","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"}}]}}