{"title":"利用人工智能作为任意工具在重症监护医学中管理COVID-19疑难病例。","authors":"Lyubomir Chervenkov, Dimitrina Georgieva Miteva, Tsvetelina Velikova","doi":"10.5492/wjccm.v14.i3.102808","DOIUrl":null,"url":null,"abstract":"<p><p>This opinion review paper explores the application of artificial intelligence (AI) as a decisive tool in managing complex coronavirus disease 2019 (COVID-19) cases within critical care medicine. Available data have shown that very severe cases required intensive care, most of which required endotracheal intubation and mechanical ventilation to avoid a lethal outcome if possible. The unprecedented challenges posed by the COVID-19 pandemic necessitate innovative approaches to patient care. AI offers significant potential in enhancing diagnostic accuracy, predicting patient outcomes, and optimizing treatment strategies. By analyzing vast amounts of clinical data, AI can support healthcare professionals in making informed decisions, thus improving patient outcomes. We also focus on current technologies, their implementation in critical care settings, and their impact on patient management during the COVID-19 crisis. Future directions for AI integration in critical care are also discussed.</p>","PeriodicalId":66959,"journal":{"name":"世界危重病急救学杂志(英文版)","volume":"14 3","pages":"102808"},"PeriodicalIF":0.0000,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12305012/pdf/","citationCount":"0","resultStr":"{\"title\":\"Utilizing artificial intelligence as an arbitrary tool in managing difficult COVID-19 cases in critical care medicine.\",\"authors\":\"Lyubomir Chervenkov, Dimitrina Georgieva Miteva, Tsvetelina Velikova\",\"doi\":\"10.5492/wjccm.v14.i3.102808\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This opinion review paper explores the application of artificial intelligence (AI) as a decisive tool in managing complex coronavirus disease 2019 (COVID-19) cases within critical care medicine. Available data have shown that very severe cases required intensive care, most of which required endotracheal intubation and mechanical ventilation to avoid a lethal outcome if possible. The unprecedented challenges posed by the COVID-19 pandemic necessitate innovative approaches to patient care. AI offers significant potential in enhancing diagnostic accuracy, predicting patient outcomes, and optimizing treatment strategies. By analyzing vast amounts of clinical data, AI can support healthcare professionals in making informed decisions, thus improving patient outcomes. We also focus on current technologies, their implementation in critical care settings, and their impact on patient management during the COVID-19 crisis. Future directions for AI integration in critical care are also discussed.</p>\",\"PeriodicalId\":66959,\"journal\":{\"name\":\"世界危重病急救学杂志(英文版)\",\"volume\":\"14 3\",\"pages\":\"102808\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12305012/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"世界危重病急救学杂志(英文版)\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.5492/wjccm.v14.i3.102808\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"世界危重病急救学杂志(英文版)","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.5492/wjccm.v14.i3.102808","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Utilizing artificial intelligence as an arbitrary tool in managing difficult COVID-19 cases in critical care medicine.
This opinion review paper explores the application of artificial intelligence (AI) as a decisive tool in managing complex coronavirus disease 2019 (COVID-19) cases within critical care medicine. Available data have shown that very severe cases required intensive care, most of which required endotracheal intubation and mechanical ventilation to avoid a lethal outcome if possible. The unprecedented challenges posed by the COVID-19 pandemic necessitate innovative approaches to patient care. AI offers significant potential in enhancing diagnostic accuracy, predicting patient outcomes, and optimizing treatment strategies. By analyzing vast amounts of clinical data, AI can support healthcare professionals in making informed decisions, thus improving patient outcomes. We also focus on current technologies, their implementation in critical care settings, and their impact on patient management during the COVID-19 crisis. Future directions for AI integration in critical care are also discussed.