Latest AI and machine learning research in anesthesiology for healthcare professionals.
INTRODUCTION: Postoperative sepsis after pancreatoduodenectomy (PSPD) remains a major determinant of morbidity and mortality. Although extensive clinical studies have explored its risk factors and management, the global research landscape and evolving priorities of PSPD have not been systematically characterized. METHODS: Publications related to PSPD from 1980 to July 2025 were retrieved from the ...
The common marmoset is a key model in translational neuroscience, yet the reliance on anesthesia for neuroimaging introduces significant confounds. To provide a physiological basis for future investigations we characterized cerebral glucose metabolism during naturally awake and isoflurane anesthetized states using [18F]FDG PET. Four adult male marmosets underwent repeated PET/CT sessions in a cros...
Managing patients with respiratory failure increasingly involves non-invasive respiratory support (NIRS) strategies to support respiration, often prev...
OBJECTIVE: The purpose of this study is to identify hub genes associated with both osteoporosis (OP) and chronic kidney disease (CKD) through bioinfor...
We aimed to explore the predictive role of radiomic features of body compositions in the occurrence of delayed awakening after flexible ureteroscopic ...
BACKGROUND: Postoperative gastrointestinal (GI) bleeding is a serious complication after hip fracture surgery in older adults, yet perioperative risk ...
This special article represents the eighth installment in an annual Journal of Cardiothoracic and Vascular Anesthesia series highlighting key advances...
The key pathophysiological feature of obstructive sleep apnea（OSA） is dynamic collapse of the upper airway during sleep. Polysomnography（PSG） and awak...
BACKGROUND: Widespread adoption of artificial intelligence into surgical care heavily depends on clinician and patient attitudes, which remain poorly ...
BACKGROUND: Perioperative anticoagulant management is critical because of the competing risks of ischemia and bleeding. Large language models (LLMs) a...
The shift from the traditional empirical approach to a more data-driven method in the diagnosis and treatment of GI cancers is significant due to adva...
The accurate prediction of impending intraoperative hypoxaemic events is paramount for patient safety. Current models relying on structural parameters...
PURPOSE OF REVIEW: Nonoperating room anesthesia (NORA) services are rapidly expanding and now represent a substantial proportion of anesthetic care. E...
PURPOSE OF THE REVIEW: Artificial intelligence in health is evolving rapidly, and there is a lot of hope that it may improve patient outcomes. The per...
BACKGROUND: Postoperative delirium (POD) is a prevalent and serious complication in older surgical patients, linked to prolonged hospitalization, high...
ObjectiveThis study aimed to evaluate the performance of large language models-ChatGPT-4o and Gemini 1.5 Pro-in assessing suicide risk and guiding tre...
PURPOSE OF REVIEW: This review examines recent advances in pediatric airway management, including emerging technologies, updated guidelines, and innov...
BACKGROUND: Existing PICU early warning systems lack sufficient accuracy and timeliness for effective preparation. Machine learning approaches may imp...
BACKGROUND: The American Society of Anesthesiologists Physical Status (ASA-PS) classification is integral to preoperative risk assessment; yet, assign...