{"title":"[人工智能治疗急性呼吸窘迫综合征(ARDS)的潜力]。","authors":"Johannes Bickenbach","doi":"10.1055/a-2043-8644","DOIUrl":null,"url":null,"abstract":"<p><p>Acute respiratory distress syndrome (ARDS) is still associated with high mortality rates and poses a significant, vital threat to ICU patients because this syndrome is often detected too late (or not at all), and timely therapy and the fastest possible elimination of the underlying causes thus fail to materialize. Artificial Intelligence (AI) solutions can enable clinicians to make every minute in the ICU work for the patient by processing and analyzing all relevant data, thus supporting early diagnosis, adhering to clinical guidelines, and even providing a prognosis for the course of the ICU. This article shows what is already possible and where further challenges lie in this field of digital medicine.</p>","PeriodicalId":7789,"journal":{"name":"Anasthesiologie Intensivmedizin Notfallmedizin Schmerztherapie","volume":"59 1","pages":"34-44"},"PeriodicalIF":0.3000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Potential of AI for the Treatment of Acute Respiratory Distress Syndrome (ARDS)].\",\"authors\":\"Johannes Bickenbach\",\"doi\":\"10.1055/a-2043-8644\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Acute respiratory distress syndrome (ARDS) is still associated with high mortality rates and poses a significant, vital threat to ICU patients because this syndrome is often detected too late (or not at all), and timely therapy and the fastest possible elimination of the underlying causes thus fail to materialize. Artificial Intelligence (AI) solutions can enable clinicians to make every minute in the ICU work for the patient by processing and analyzing all relevant data, thus supporting early diagnosis, adhering to clinical guidelines, and even providing a prognosis for the course of the ICU. This article shows what is already possible and where further challenges lie in this field of digital medicine.</p>\",\"PeriodicalId\":7789,\"journal\":{\"name\":\"Anasthesiologie Intensivmedizin Notfallmedizin Schmerztherapie\",\"volume\":\"59 1\",\"pages\":\"34-44\"},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Anasthesiologie Intensivmedizin Notfallmedizin Schmerztherapie\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1055/a-2043-8644\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/8 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"ANESTHESIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anasthesiologie Intensivmedizin Notfallmedizin Schmerztherapie","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1055/a-2043-8644","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/8 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"ANESTHESIOLOGY","Score":null,"Total":0}
[Potential of AI for the Treatment of Acute Respiratory Distress Syndrome (ARDS)].
Acute respiratory distress syndrome (ARDS) is still associated with high mortality rates and poses a significant, vital threat to ICU patients because this syndrome is often detected too late (or not at all), and timely therapy and the fastest possible elimination of the underlying causes thus fail to materialize. Artificial Intelligence (AI) solutions can enable clinicians to make every minute in the ICU work for the patient by processing and analyzing all relevant data, thus supporting early diagnosis, adhering to clinical guidelines, and even providing a prognosis for the course of the ICU. This article shows what is already possible and where further challenges lie in this field of digital medicine.
期刊介绍:
AINS ist die Fachzeitschrift für Anästhesiologie, Intensivmedizin, Notfallmedizin und Schmerztherapie im Georg Thieme Verlag. Sie vermittelt aktuelles Fachwissen und bietet Fortbildung. AINS hat sich das Ziel gesteckt, den Leserinnen und Lesern – Fachärzten und Weiterbildungsassistenten in der Anästhesiologie – immer praxisbezogenen Nutzwert und größtmögliche Unterstützung zu bieten.