Latest AI and machine learning research in anesthesiology for healthcare professionals.
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 machine learning-based approaches for early detection before overt decompensation and for supporting time-critical hemorrhage management in trauma patients. RECENT FINDINGS: Recent st...
PURPOSE OF REVIEW: Anesthesiology generates large volumes of heterogeneous perioperative data, including high-resolution physiological signals, clinical documentation, and device-generated information. Despite this richness, the clinical deployment of artificial intelligence systems remains limited. This review examines how limitations in data integration and systems interoperability constrain the...
PURPOSE OF REVIEW: To synthesize recent advances in intraoperative resuscitation for trauma surgery, including fluid composition, transfusion threshol...
INTRODUCTION: Periodontal disease (PD) is closely linked to systemic health, with established associations with chronic conditions (eg, diabetes, card...
Chronic pain is one of the most prevalent global health issues, significantly impacting physical and psychological health and resulting in reduced qua...
PURPOSE OF REVIEW: Advances in intravenous anaesthesia are driven by the need for agents with improved safety, enhanced hemodynamic stability, predict...
BACKGROUND: Ultrasound-guided regional anesthesia is commonly used to enhance perioperative analgesia. However, the technique is limited by inter-oper...
PURPOSE OF REVIEW: Survival rates following liver transplantation now exceed 90% at one year. However, the patient group undergoing liver transplantat...
BACKGROUND: Adverse events (AEs) within the cardiac ICU (CICU) are associated with high mortality and comorbidity. Patients with single ventricle (SV)...
BACKGROUND: General anesthesia comprises 3 essential components-hypnosis, analgesia, and immobility. Among these, maintaining an appropriate hypnotic ...
BACKGROUND: Preoperative anaesthetic consultation is essential for perioperative care, involving risk assessment, treatment optimisation, and planning...
This pragmatic randomized controlled trial aimed to assess the effect of a passive display of artificial intelligence (AI)-based predictive analytics ...
BACKGROUND: Nonhome discharge (NHD) after lower extremity bypass is associated with discharge delays, increased postdischarge complications, and reduc...
The integration of nanotechnology and artificial intelligence (AI) in dentistry offers transformative potential for diagnostics, treatment, and preven...
This narrative review examines artificial intelligence (AI) applications in airway management through a structured literature search completed in July...
INTRODUCTION: Persistent postsurgical pain (PPSP) affects up to 15% of patients after major surgery, impairing physical function, quality of life and ...
Aging is associated with widespread structural and functional changes in the brain including reduced neural plasticity, slower information processing,...
Artificial Intelligence (AI) is reshaping medical education, particularly in the domain of competency-based assessment, where current methods remain s...
The integration of artificial intelligence (AI) into ultrasound-guided regional anesthesia (UGRA) marks a new stage in anesthetic practice. Since ultr...