Artificial intelligence-driven triage and decision-making in trauma systems/settings [0.03%]
人工智能驱动的创伤系统/设置中的分诊和决策
Alexandre Kalimouttou,Zane Perkins,Tobias Gauss
Alexandre Kalimouttou
Purpose of review: Trauma care demands rapid decision-making under uncertainty and time pressure, where maintaining situational awareness becomes challenging. Artificial intelligence offers potential to augment clinical j...
Marc Philip Steurer
Marc Philip Steurer
Nada Pejčić,Milena Stojanović,Radmilo Janković
Nada Pejčić
Purpose of review: The clinical utility of many analgesics is limited by their nonselective action, which yields desired analgesia at the cost of significant off-target effects across multiple organ systems. Developing no...
Real-time, artificial intelligence-guided intraoperative resuscitation and fluid management in trauma anesthesia [0.03%]
创伤麻醉手术中的实时人工智能引导的复苏和液体管理
Madeline Holt,Akash Shanmugam,Andrew M Bishara
Madeline Holt
Purpose of review: To synthesize recent advances in intraoperative resuscitation for trauma surgery, including fluid composition, transfusion thresholds, and coagulopathy management, and to identify emerging directions th...
Data integration and systems interoperability: the prerequisite for artificial intelligence in anesthesiology [0.03%]
麻醉学中人工智能的数据整合和系统互操作性的前提条件
Olivier Duranteau,Benjamin Popoff
Olivier Duranteau
Purpose of review: Anesthesiology generates large volumes of heterogeneous perioperative data, including high-resolution physiological signals, clinical documentation, and device-generated information. Despite this richne...
Artificial intelligence and predictive analytics in obstetric anesthesia: early warning for maternal complications [0.03%]
人工智能和预测分析在妇产麻醉中的应用：预测产妇并发症的早期预警系统
Vesela P Kovacheva,Michael L Burns
Vesela P Kovacheva
Purpose of review: Maternal morbidity and mortality remain largely preventable, yet current risk-assessment tools identify only a fraction of women who experience severe complications. This review synthesizes recent advan...
Machine learning for hemodynamic instability prediction and hemorrhage management in trauma and perioperative care [0.03%]
用于创伤和围手术期护理的血流动力学不稳定预测和出血管理的机器学习
Joshua Le,Walter Rusin,Alexandre Joosten et al.
Joshua Le et al.
Purpose of review: Hemodynamic instability and uncontrolled hemorrhage remain leading causes of preventable morbidity and mortality in trauma and perioperative critical care. This review summarizes recent advances in mach...
Milena Stojanovic,Nada Pejcic,Radmilo Jankovic
Milena Stojanovic
Purpose of review: Advances in intravenous anaesthesia are driven by the need for agents with improved safety, enhanced hemodynamic stability, predictable recovery profiles, and overall patient safety. This review summari...
Oscar F C van den Bosch,Feline F J A Ter Bruggen,Erica M Johnson et al.
Oscar F C van den Bosch et al.
Purpose of review: This review provides an updated overview of anesthetic considerations for malpresentation and multiple gestation. Key topics include analgesia for external cephalic version (ECV), labor analgesia for va...
Artificial intelligence in trauma care: applications, ethical challenges, and pathways toward responsible integration [0.03%]
创伤护理中的人工智能：应用、伦理挑战及负责任整合的路径
Elena Giovanna Bignami,Michele Berdini,Valentina Bellini
Elena Giovanna Bignami
Purpose of review: Artificial intelligence is increasingly applied across the trauma care continuum, from prehospital triage to in-hospital decision-making. This review provides a timely synthesis of emerging applications...