{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T18:04:03Z","timestamp":1778695443668,"version":"3.51.4"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686080","type":"electronic"}],"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>This study developed a machine learning-based Clinical Decision Support System (CDSS) by integrating an AI-derived Congestion Index (CIx) from chest X-rays with clinical and laboratory data in patients with acute decompensated heart failure (ADHF). Among 9,286 patients, the model incorporating imaging data showed the highest predictive accuracy (AUROC 0.750). CIx demonstrated prognostic performance comparable to NT-proBNP and showed a significant increase in event rates across quartiles. The final CDSS-HF index was also strongly associated with outcomes. These findings support the use of AI-based imaging biomarkers for enhanced risk stratification in ADHF.<\/jats:p>","DOI":"10.3233\/shti251265","type":"book-chapter","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:46:33Z","timestamp":1754567193000},"source":"Crossref","is-referenced-by-count":2,"title":["Novel Approach to Acute Heart Failure Risk Stratification Using AI-Derived Congestion Index from Chest Radiographs and Clinical Parameter"],"prefix":"10.3233","author":[{"given":"Ki-Hyun","family":"Jeon","sequence":"first","affiliation":[{"name":"Division of Cardiology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Taeho","family":"Hur","sequence":"additional","affiliation":[{"name":"Division of Cardiology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Minjae","family":"Yoon","sequence":"additional","affiliation":[{"name":"Division of Cardiology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyoung-Won","family":"Cho","sequence":"additional","affiliation":[{"name":"Division of Cardiology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eun Ju","family":"Chun","sequence":"additional","affiliation":[{"name":"Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jong-Min","family":"Kim","sequence":"additional","affiliation":[{"name":"AI Center, MEDICAL IP Co., Ltd., Seoul, Korea; Department of Radiology, Seoul National University College of Medicine, Seoul, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun-Sik","family":"Yoon","sequence":"additional","affiliation":[{"name":"AI Center, MEDICAL IP Co., Ltd., Seoul, Korea; Department of Radiology, Seoul National University College of Medicine, Seoul, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dain","family":"Lee","sequence":"additional","affiliation":[{"name":"AI Center, MEDICAL IP Co., Ltd., Seoul, Korea; Department of Radiology, Seoul National University College of Medicine, Seoul, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sang Joon","family":"Park","sequence":"additional","affiliation":[{"name":"AI Center, MEDICAL IP Co., Ltd., Seoul, Korea; Department of Radiology, Seoul National University College of Medicine, Seoul, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dong-Ju","family":"Choi","sequence":"additional","affiliation":[{"name":"Division of Cardiology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"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\/SHTI251265","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:46:33Z","timestamp":1754567193000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI251265"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,7]]},"ISBN":["9781643686080"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti251265","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,7]]}}}