{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T01:03:28Z","timestamp":1755219808378,"version":"3.43.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"electronic","value":"9781643686080"}],"license":[{"start":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T00:00:00Z","timestamp":1754524800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,8,7]]},"abstract":"<jats:p>Prostate cancer (PC) mortality in Latin America is reported to be twice as high as in developed countries. Combination therapies, such as androgen deprivation therapy (ADT) combined with new hormonal therapies (NHT), are known to improve survival, but their effectiveness in Latin American populations remains understudied. This knowledge limitation can be addressed using artificial intelligence (AI). In this study, an AI and Natural Language Processing (NLP) tool was developed by the Hospital Italiano de Buenos Aires\u2019s (HIBA) healthcare AI program in collaboration with the oncology department, to extract, encode, and analyze electronic health record (EHR) data. The data were collected from patients diagnosed with metastatic castration-sensitive prostate cancer (mCSPC) at HIBA, from 2010 to 2020, with a focus on first-line treatment patterns. Performance metrics, including precision, recall, and F1 score, were evaluated for several key variables. For \u201cprostate cancer diagnosis,\u201d recall was 0.95, and for \u201cmetastasis development detection,\u201d recall was 0.91. Regarding \u201cinitiation of first-line treatment,\u201d precision, recall, and F1 score were 0.94, 0.97, and 0.95, respectively. However, metrics for more complex variables, such as \u201ccastration resistance detection,\u201d were lower (precision 0.87, recall 0.46, F1 score 0.60). The tool demonstrated adequate recall for metastatic disease diagnosis, although further refinements are needed to enhance performance.<\/jats:p>","DOI":"10.3233\/shti250814","type":"book-chapter","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:31:59Z","timestamp":1754566319000},"source":"Crossref","is-referenced-by-count":0,"title":["Validation of a Natural Language Processing System to Identify Metastatic Castration-Sensitive Prostate Cancer Patients in a Large Cohort of Patients"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9794-2173","authenticated-orcid":false,"given":"Federico","family":"Cayol","sequence":"first","affiliation":[{"name":"Department of Medicine, Hospital Italiano de Buenos Aires, Argentina"}]},{"given":"Matias","family":"Cerini","sequence":"additional","affiliation":[{"name":"Department of Medicine, Hospital Italiano de Buenos Aires, Argentina"}]},{"given":"Javier","family":"Castro","sequence":"additional","affiliation":[{"name":"Department of Health Informatics, Hospital Italiano de Buenos Aires, Argentina"}]},{"given":"Agustina","family":"Saguier","sequence":"additional","affiliation":[{"name":"Department of Health Informatics, Hospital Italiano de Buenos Aires, Argentina"}]},{"given":"Mariano","family":"Aymar","sequence":"additional","affiliation":[{"name":"Department of Medicine, Hospital Italiano de Buenos Aires, Argentina"}]},{"given":"Rodney","family":"Ramirez Murillo","sequence":"additional","affiliation":[{"name":"Department of Medicine, Hospital Italiano de Buenos Aires, Argentina"}]},{"given":"Carlos","family":"Otero","sequence":"additional","affiliation":[{"name":"Department of Health Informatics, Hospital Italiano de Buenos Aires, Argentina"},{"name":"Group of Health Informatics, IMTIB, CONICET, Buenos Aires, Argentina"}]},{"given":"Jose","family":"Casta\u00f1o","sequence":"additional","affiliation":[{"name":"Department of Health Informatics, Hospital Italiano de Buenos Aires, Argentina"}]},{"given":"Daniel","family":"Luna","sequence":"additional","affiliation":[{"name":"Department of Health Informatics, Hospital Italiano de Buenos Aires, Argentina"},{"name":"Group of Health Informatics, IMTIB, CONICET, Buenos Aires, Argentina"}]},{"given":"Sonia","family":"Benitez","sequence":"additional","affiliation":[{"name":"Department of Health Informatics, Hospital Italiano de Buenos Aires, Argentina"},{"name":"Group of Health Informatics, IMTIB, CONICET, Buenos Aires, Argentina"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2025 \u2014 Healthcare Smart \u00d7 Medicine Deep"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI250814","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:32:09Z","timestamp":1754566329000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI250814"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,7]]},"ISBN":["9781643686080"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti250814","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"type":"print","value":"0926-9630"},{"type":"electronic","value":"1879-8365"}],"subject":[],"published":{"date-parts":[[2025,8,7]]}}}