{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,25]],"date-time":"2026-08-25T18:27:46Z","timestamp":1787682466267,"version":"build-2784847793"},"reference-count":78,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2024,5,7]],"date-time":"2024-05-07T00:00:00Z","timestamp":1715040000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Can Assoc Radiol J"],"published-print":{"date-parts":[[2024,11]]},"abstract":"<jats:p>Artificial intelligence (AI) is a rapidly growing field with significant implications for radiology. Acute abdominal pain is a common clinical presentation that can range from benign conditions to life-threatening emergencies. The critical nature of these situations renders emergent abdominal imaging an ideal candidate for AI applications. CT, radiographs, and ultrasound are the most common modalities for imaging evaluation of these patients. For each modality, numerous studies have assessed the performance of AI models for detecting common pathologies, such as appendicitis, bowel obstruction, and cholecystitis. The capabilities of these models range from simple classification to detailed severity assessment. This narrative review explores the evolution, trends, and challenges in AI applications for evaluating acute abdominal pathologies. We review implementations of AI for non-traumatic and traumatic abdominal pathologies, with discussion of potential clinical impact, challenges, and future directions for the technology.<\/jats:p>","DOI":"10.1177\/08465371241250197","type":"journal-article","created":{"date-parts":[[2024,5,8]],"date-time":"2024-05-08T00:32:58Z","timestamp":1715128378000},"page":"761-770","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":25,"title":["Applications of Artificial Intelligence in Acute Abdominal Imaging"],"prefix":"10.1177","volume":"75","author":[{"given":"Jason","family":"Yao","sequence":"first","affiliation":[{"name":"Department of Radiology, McMaster University, Hamilton, ON, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Linda C.","family":"Chu","sequence":"additional","affiliation":[{"name":"Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9304-6355","authenticated-orcid":false,"given":"Michael","family":"Patlas","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging, University of Toronto, Toronto, ON, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2024,5,7]]},"reference":[{"key":"bibr1-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1007\/s00247-021-05177-7"},{"key":"bibr2-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1007\/s13244-018-0639-9"},{"key":"bibr3-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1016\/j.diii.2022.07.005"},{"key":"bibr4-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1002\/emp2.12277"},{"key":"bibr5-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejro.2020.100316"},{"key":"bibr6-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1007\/s00268-017-3986-7"},{"key":"bibr7-08465371241250197","doi-asserted-by":"publisher","DOI":"10.3348\/kjr.2022.1032"},{"key":"bibr8-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2022.110216"},{"key":"bibr9-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1259\/bjr.20201407"},{"key":"bibr10-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1007\/s00261-017-1294-1"},{"key":"bibr11-08465371241250197","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.18.20362"},{"key":"bibr12-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-024-01023-y"},{"key":"bibr13-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1186\/s13244-021-01150-y"},{"key":"bibr14-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-024-10657-z"},{"key":"bibr15-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1007\/s00261-016-0656-4"},{"key":"bibr16-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1186\/s13017-023-00527-2"},{"key":"bibr17-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-66674-7"},{"key":"bibr18-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0281498"},{"key":"bibr19-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-61055-6"},{"key":"bibr20-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1089\/lap.2021.0318"},{"key":"bibr21-08465371241250197","doi-asserted-by":"publisher","DOI":"10.2196\/12660"},{"key":"bibr22-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3069191"},{"key":"bibr23-08465371241250197","doi-asserted-by":"publisher","DOI":"10.14366\/usg.23153"},{"key":"bibr24-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-55536-6"},{"key":"bibr25-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-74653-1"},{"key":"bibr26-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpeds.2019.11.011"},{"key":"bibr27-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1007\/s00247-009-1178-9"},{"key":"bibr28-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1002\/mp.12399"},{"key":"bibr29-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2022.53370"},{"key":"bibr30-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1097\/RLI.0000000000000509"},{"key":"bibr31-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1007\/s10140-021-01944-z"},{"key":"bibr32-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2021.106382"},{"key":"bibr33-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1002\/ams2.783"},{"key":"bibr34-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1007\/s00261-014-0210-1"},{"key":"bibr35-08465371241250197","doi-asserted-by":"publisher","DOI":"10.5152\/dir.2019.19321"},{"key":"bibr36-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2019.108778"},{"key":"bibr37-08465371241250197","first-page":"244","volume-title":"2019 Prognostics and System Health Management Conference (PHM-Paris)","volume":"2019","author":"Lin YP"},{"key":"bibr38-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2024.105341"},{"key":"bibr39-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1148\/ryai.2019180066"},{"key":"bibr40-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-023-00946-2"},{"key":"bibr41-08465371241250197","doi-asserted-by":"publisher","DOI":"10.5213\/inj.2346292.146"},{"key":"bibr42-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1007\/s12539-023-00578-8"},{"key":"bibr43-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1002\/mp.15518"},{"key":"bibr44-08465371241250197","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics12081788"},{"key":"bibr45-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-019-6004-7"},{"key":"bibr46-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvs.2019.12.026"},{"key":"bibr47-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-023-00866-1"},{"key":"bibr48-08465371241250197","unstructured":"Viz.ai. Viz.ai is first to receive FDA 510(k) clearance for AI algorithm for abdominal aortic aneurysm. 2023. Accessed March 2, 2024. https:\/\/www.viz.ai\/news\/viz-ai-is-first-to-receive-fda-510-k-clearance-for-ai-algorithm-for-abdominal-aortic-aneurysm"},{"key":"bibr49-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2272020555"},{"key":"bibr50-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-74936-7"},{"key":"bibr51-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvs.2005.02.050"},{"key":"bibr52-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvssci.2019.12.003"},{"key":"bibr53-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvs.2013.05.001"},{"key":"bibr54-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1007\/s10140-023-02120-1"},{"key":"bibr55-08465371241250197","doi-asserted-by":"publisher","DOI":"10.3389\/fmed.2021.707437"},{"key":"bibr56-08465371241250197","doi-asserted-by":"publisher","DOI":"10.5812\/ircmj.20302"},{"key":"bibr57-08465371241250197","doi-asserted-by":"publisher","DOI":"10.3390\/jcm12124043"},{"key":"bibr58-08465371241250197","doi-asserted-by":"publisher","DOI":"10.21037\/atm-22-3767"},{"key":"bibr59-08465371241250197","doi-asserted-by":"publisher","DOI":"10.7863\/ultra.15.11017"},{"key":"bibr60-08465371241250197","doi-asserted-by":"publisher","DOI":"10.3390\/bioengineering10040502"},{"key":"bibr61-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1148\/ryai.2020190220"},{"key":"bibr62-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1186\/s12880-022-00759-9"},{"key":"bibr63-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-024-01038-5"},{"key":"bibr64-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1177\/08465371231221052"},{"key":"bibr65-08465371241250197","unstructured":"Radiological Society of North America. RSNA abdominal trauma detection AI challenge (2023). 2023. Accessed February 24, 2024. https:\/\/www.rsna.org\/rsnai\/ai-image-challenge\/abdominal-trauma-detection-ai-challenge"},{"key":"bibr66-08465371241250197","unstructured":"Dhankhar N. RSNA-2023-1st-place-solution. 2023. Accessed February 24, 2024. https:\/\/github.com\/Nischaydnk\/RSNA-2023-1st-place-solution"},{"key":"bibr67-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1016\/j.diii.2022.08.001"},{"key":"bibr68-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0222030"},{"key":"bibr69-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1007\/s00247-019-04601-3"},{"key":"bibr70-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1097\/RCT.0000000000001269"},{"key":"bibr71-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-020-07534-w"},{"key":"bibr72-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2020.01.012"},{"key":"bibr73-08465371241250197","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.14.14057"},{"key":"bibr74-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-021-01533-7"},{"key":"bibr75-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacr.2019.12.026"},{"key":"bibr76-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2019.10.006"},{"key":"bibr77-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2020.04.011"},{"key":"bibr78-08465371241250197","doi-asserted-by":"publisher","DOI":"10.1148\/ryai.2020190043"}],"container-title":["Canadian Association of Radiologists Journal"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/08465371241250197","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/08465371241250197","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/08465371241250197","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T13:54:58Z","timestamp":1777384498000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/08465371241250197"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,7]]},"references-count":78,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2024,11]]}},"alternative-id":["10.1177\/08465371241250197"],"URL":"https:\/\/doi.org\/10.1177\/08465371241250197","relation":{},"ISSN":["0846-5371","1488-2361"],"issn-type":[{"value":"0846-5371","type":"print"},{"value":"1488-2361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5,7]]}}}