Bickenbach Johannes
Anasthesiol Intensivmed Notfallmed Schmerzther. 2024 Jan;59(1):34-44. doi: 10.1055/a-2043-8644. Epub 2024 Jan 8.
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.
急性呼吸窘迫综合征（ARDS）仍然与高死亡率相关，并且对重症监护病房（ICU）患者构成重大的生命威胁，因为这种综合征往往发现得太晚（或者根本未被发现），从而无法实现及时治疗以及尽快消除潜在病因。人工智能（AI）解决方案能够通过处理和分析所有相关数据，让临床医生在ICU的每一分钟都能为患者所用，从而支持早期诊断、遵循临床指南，甚至为ICU病程提供预后评估。本文展示了在数字医学这一领域已经能够做到的事情以及还存在哪些进一步的挑战。
