{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,4]],"date-time":"2026-11-04T10:58:26Z","timestamp":1793789906931,"version":"4.6.1"},"reference-count":40,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2024,11,28]],"date-time":"2024-11-28T00:00:00Z","timestamp":1732752000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Diagnostics"],"abstract":"<jats:p>Background and Objectives: Acute aortic dissection (AD) is a life-threatening condition in which early detection can significantly improve patient outcomes and survival. This study evaluates the clinical benefits of integrating a deep learning (DL)-based application for the automated detection and prioritization of AD on chest CT angiographies (CTAs) with a focus on the reduction in the scan-to-assessment time (STAT) and interpretation time (IT). Materials and Methods: This retrospective Multi-Reader Multi-Case (MRMC) study compared AD detection with and without artificial intelligence (AI) assistance. The ground truth was established by two U.S. board-certified radiologists, while three additional expert radiologists served as readers. Each reader assessed the same CTAs in two phases: assessment unaided by AI assistance (pre-AI arm) and, after a 1-month washout period, assessment aided by device outputs (post-AI arm). STAT and IT metrics were compared between the two arms. Results: This study included 285 CTAs (95 per reader, per arm) with a mean patient age of 58.5 years \u00b114.7 (SD), of which 52% were male and 37% had a prevalence of AD. AI assistance significantly reduced the STAT for detecting 33 true positive AD cases from 15.84 min (95% CI: 13.37\u201318.31 min) without AI to 5.07 min (95% CI: 4.23\u20135.91 min) with AI, representing a 68% reduction (p &lt; 0.01). The IT also reduced significantly from 21.22 s (95% CI: 19.87\u201322.58 s) without AI to 14.17 s (95% CI: 13.39\u201314.95 s) with AI (p &lt; 0.05). Conclusions: The integration of a DL-based algorithm for AD detection on chest CTAs significantly reduces both the STAT and IT. By prioritizing urgent cases, the AI-assisted approach outperforms the standard First-In, First-Out (FIFO) workflow.<\/jats:p>","DOI":"10.3390\/diagnostics14232689","type":"journal-article","created":{"date-parts":[[2024,11,29]],"date-time":"2024-11-29T02:57:08Z","timestamp":1732849028000},"page":"2689","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Enhancing Radiologist Efficiency with AI: A Multi-Reader Multi-Case Study on Aortic Dissection Detection and Prioritization"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-2169-3161","authenticated-orcid":false,"given":"Martina","family":"Cotena","sequence":"first","affiliation":[{"name":"Avicenna.AI, 375 Avenue du Mistral, 13600 La Ciotat, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4351-6782","authenticated-orcid":false,"given":"Angela","family":"Ayobi","sequence":"additional","affiliation":[{"name":"Avicenna.AI, 375 Avenue du Mistral, 13600 La Ciotat, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Colin","family":"Zuchowski","sequence":"additional","affiliation":[{"name":"Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1364 Clifton Road Northeast, Suite BG20, Atlanta, GA 30322, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jacqueline C.","family":"Junn","sequence":"additional","affiliation":[{"name":"Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1364 Clifton Road Northeast, Suite BG20, Atlanta, GA 30322, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7992-1747","authenticated-orcid":false,"given":"Brent D.","family":"Weinberg","sequence":"additional","affiliation":[{"name":"Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1364 Clifton Road Northeast, Suite BG20, Atlanta, GA 30322, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7645-7865","authenticated-orcid":false,"given":"Peter D.","family":"Chang","sequence":"additional","affiliation":[{"name":"Department of Radiological Sciences, University of California Irvine, Irvine, CA 92697, USA"},{"name":"Center for Artificial Intelligence in Diagnostic Medicine, University of California Irvine, Irvine, CA 92697, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel S.","family":"Chow","sequence":"additional","affiliation":[{"name":"Department of Radiological Sciences, University of California Irvine, Irvine, CA 92697, USA"},{"name":"Center for Artificial Intelligence in Diagnostic Medicine, University of California Irvine, Irvine, CA 92697, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jennifer E.","family":"Soun","sequence":"additional","affiliation":[{"name":"Department of Radiological Sciences, University of California Irvine, Irvine, CA 92697, USA"},{"name":"Center for Artificial Intelligence in Diagnostic Medicine, University of California Irvine, Irvine, CA 92697, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7482-1563","authenticated-orcid":false,"given":"Mar","family":"Roca-Sogorb","sequence":"additional","affiliation":[{"name":"Avicenna.AI, 375 Avenue du Mistral, 13600 La Ciotat, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9734-172X","authenticated-orcid":false,"given":"Yasmina","family":"Chaibi","sequence":"additional","affiliation":[{"name":"Avicenna.AI, 375 Avenue du Mistral, 13600 La Ciotat, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-7192-1442","authenticated-orcid":false,"given":"Sarah","family":"Quenet","sequence":"additional","affiliation":[{"name":"Avicenna.AI, 375 Avenue du Mistral, 13600 La Ciotat, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,11,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1093\/eurheartj\/ehz405","article-title":"2019 ESC Guidelines for the diagnosis and management of acute pulmonary embolism developed in collaboration with the European Respiratory Society (ERS)","volume":"41","author":"Konstantinides","year":"2020","journal-title":"Eur. 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