[Potential of AI for the Treatment of Acute Respiratory Distress Syndrome (ARDS)].

IF 0.3 4区 医学 Q4 ANESTHESIOLOGY Anasthesiologie Intensivmedizin Notfallmedizin Schmerztherapie Pub Date : 2024-01-01 Epub Date: 2024-01-08 DOI:10.1055/a-2043-8644
Johannes Bickenbach
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Abstract

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.

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[人工智能治疗急性呼吸窘迫综合征(ARDS)的潜力]。
急性呼吸窘迫综合征(ARDS)的死亡率仍然很高,对重症监护室的病人构成了重大威胁,因为这种综合征往往发现得太晚(或根本没有发现),因此无法进行及时治疗和尽快消除潜在病因。人工智能(AI)解决方案可以让临床医生通过处理和分析所有相关数据,让重症监护室的每一分钟都为病人服务,从而支持早期诊断、遵守临床指南,甚至为重症监护室的治疗过程提供预后。本文介绍了数字医疗领域已经取得的成就和面临的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.80
自引率
25.00%
发文量
115
审稿时长
6-12 weeks
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.
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