{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T07:11:48Z","timestamp":1786605108659,"version":"build-2736575974"},"reference-count":166,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2024,7,8]],"date-time":"2024-07-08T00:00:00Z","timestamp":1720396800000},"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>The advent of artificial intelligence (AI) is revolutionizing medicine, particularly radiology. With the development of newer models, AI applications are demonstrating improved performance and versatile utility in the clinical setting. Thoracic imaging is an area of profound interest, given the prevalence of chest imaging and the significant health implications of thoracic diseases. This review aims to highlight the promising applications of AI within thoracic imaging. It examines the role of AI, including its contributions to improving diagnostic evaluation and interpretation, enhancing workflow, and aiding in invasive procedures. Next, it further highlights the current challenges and limitations faced by AI, such as the necessity of \u2018big data\u2019, ethical and legal considerations, and bias in representation. Lastly, it explores the potential directions for the application of AI in thoracic radiology.<\/jats:p>","DOI":"10.3390\/diagnostics14131456","type":"journal-article","created":{"date-parts":[[2024,7,8]],"date-time":"2024-07-08T07:57:45Z","timestamp":1720425465000},"page":"1456","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Evolving and Novel Applications of Artificial Intelligence in Thoracic Imaging"],"prefix":"10.3390","volume":"14","author":[{"given":"Jin Y.","family":"Chang","sequence":"first","affiliation":[{"name":"Department of Radiology, The Ohio State University College of Medicine, Columbus, OH 43210, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2498-7132","authenticated-orcid":false,"given":"Mina S.","family":"Makary","sequence":"additional","affiliation":[{"name":"Department of Radiology, The Ohio State University College of Medicine, Columbus, OH 43210, USA"},{"name":"Division of Vascular and Interventional Radiology, Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,7,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"9401","DOI":"10.1007\/s00330-023-09897-2","article-title":"Diagnostic radiology and its future: What do clinicians need and think?","volume":"33","author":"Kwee","year":"2023","journal-title":"Eur. 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