Latest AI and machine learning research in anesthesiology for healthcare professionals.
PURPOSE OF REVIEW: Medical devices like physiologic monitors, anesthesia machines, and ventilators, are designed by biomedical engineers but used by clinicians. Advanced medical technology can be incorporated into clinical practice safely, but addressing alarm fatigue, resilience, automation complacency, and clinician wellbeing will help to maintain and improve patient safety. RECENT FINDINGS: The...
Marked interindividual heterogeneity in substance use disorder (SUD) impedes the identification of consistent neuroanatomical alterations, limiting the development of robust markers for clinical risk stratification. We applied a normative modeling framework to explore individual neuroanatomical deviations in individuals with SUD across two distinct substance classes, and assessed their potential f...
BACKGROUND: Large language models (LLMs) have shown promising performance on medical examinations across specialties. However, comparative evaluations...
BACKGROUND: Optimal bowel preparation (BP) is crucial for a successful colonoscopy. Although multiple factors influence BP quality, including patient ...
BACKGROUND: Dedicated service for Barrett's oesophagus (BO) surveillance may be more effective than conventional service, according to some single cen...
A large academic medical center in the Pacific Northwest addressed perioperative staffing challenges by implementing a workflow with application of AI...
ObjectiveTo evaluate the demographic and hierarchical representation biases in artificial intelligence-generated depictions of healthcare professional...
Postoperative delirium is associated with both gut microbiota alterations and Tau phosphorylation; however, how these factors interact and jointly con...
BACKGROUND: Early management decisions after intubation, such as humidification strategy or initiation of prevention bundles for ventilator-associated...
Borderline ovarian tumors (BOTs) are a distinct subgroup of epithelial ovarian neoplasms that commonly affect women of reproductive age and are associ...
BACKGROUND: Traditional cardiac magnetic resonance (CMR) imaging scan times are long and require breath-holds, often necessitating intubation and mech...
Polytrauma is commonly defined as multisystem trauma involving at least two body regions with an Abbreviated Injury Scale (AIS) score ≥ 3, characteriz...
PURPOSE: To compare four multimodal large language models (LLMs) with surgeons on the 2023 Japanese Surgical Specialist Examination using item-level s...
Remote patient monitoring is moving closer to routine implementation and has the potential to become an important component of perioperative care: wit...
INTRODUCTION: Central venous cannulation is essential for life-saving interventions including resuscitation of critically ill patients, hemodynamic mo...
BACKGROUND: Large language models (LLMs) may help organize clinical information, but their use in perioperative settings requires careful evaluation b...
Abdominal vascular calcification is increasingly recognized as a clinically relevant marker of systemic atherosclerotic burden and regional vascular d...
Perioperative anaesthetic complications are a major public health concern, as they are associated with increased mortality, prolonged hospital stay, h...
INTRODUCTION: Surgeons are frequently exposed to psychological stress across the perioperative trajectory, which may affect surgeons' well-being and p...