{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T00:46:23Z","timestamp":1791938783757,"version":"4.3.4"},"reference-count":69,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2023,11,6]],"date-time":"2023-11-06T00:00:00Z","timestamp":1699228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key Research and Development Program","award":["2021YFC3006203"],"award-info":[{"award-number":["2021YFC3006203"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Diagnostics"],"abstract":"<jats:p>With the miniaturization of ultrasound and the development of artificial intelligence, its application in disaster scenes and pre-hospital emergency care has become more and more common. This study summarizes the literature on portable ultrasound in pre-hospital emergency and disaster scene treatment in the past decade and reviews the development and application of portable ultrasound. Portable ultrasound diagnostic equipment can be used to diagnose abdominal bleeding, limb fracture, hemopneumothorax, pericardial effusion, etc., based on which trauma can be diagnosed pre-hospital and provide guiding suggestions for the next triage and rescue; in early rescue, portable ultrasound can guide emergency operations, such as tracheal intubation, pericardial cavity puncture, and thoracic and abdominal puncture as well as improve the accuracy and timeliness of operation techniques. In addition, with the development of artificial intelligence (AI), AI-assisted diagnosis can improve the diagnosis level of ultrasound at disaster sites. The portable ultrasound diagnosis system equipped with an AI robotic arm can maximize the pre-screening classification and fast and concise diagnosis and treatment of batch casualties, thus providing a reliable basis for batch casualty classification and evacuation at disaster accident sites.<\/jats:p>","DOI":"10.3390\/diagnostics13213388","type":"journal-article","created":{"date-parts":[[2023,11,6]],"date-time":"2023-11-06T01:37:09Z","timestamp":1699234629000},"page":"3388","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Progress in the Application of Portable Ultrasound Combined with Artificial Intelligence in Pre-Hospital Emergency and Disaster Sites"],"prefix":"10.3390","volume":"13","author":[{"given":"Xing","family":"Gao","sequence":"first","affiliation":[{"name":"Tianjin University Tianjin Hospital, Tianjin 300211, China"},{"name":"Institution of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China"},{"name":"Key Laboratory of Medical Rescue Key Technology and Equipment, Ministry of Emergency Management, Tianjin 300072, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9076-7042","authenticated-orcid":false,"given":"Qi","family":"Lv","sequence":"additional","affiliation":[{"name":"Institution of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China"},{"name":"Key Laboratory of Medical Rescue Key Technology and Equipment, Ministry of Emergency Management, Tianjin 300072, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shike","family":"Hou","sequence":"additional","affiliation":[{"name":"Institution of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China"},{"name":"Key Laboratory of Medical Rescue Key Technology and Equipment, Ministry of Emergency Management, Tianjin 300072, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,11,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1318","DOI":"10.1016\/j.jacr.2019.06.004","article-title":"A Survey of DeepLearning Applications in Ultrasound: Artificial Intelligence-Powered Ultrasound for Improving Clinical Workflow","volume":"16","author":"Akkus","year":"2019","journal-title":"J. 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