Anesthesiology

Generative AI in simulation debriefings: an exploratory study using the Team-FIRST framework and qualitative feedback from simulation experts and learners.

BACKGROUND: Effective debriefings in simulation-based education require accurate observation of team interactions, yet facilitators face challenges due to cognitive load, observer bias, and the complexity of team dynamics. Generative artificial intelligence (AI) tools offer a potential means to support this process by analyzing verbal communication and providing structured feedback. This study exp...

From inhibition to regulation: serpins in health and disease.

This issue of the Biomedical Journal highlights regulatory mechanisms that shape aging, disease progression, and biological complexity across molecular, cellular, and systems levels. A central theme is plasminogen activator inhibitor-1 (PAI-1) as a multifunctional regulator linking fibrinolysis, cellular senescence, stem cell dynamics, fibrosis, and tumor biology. Contributions examine structure-g...

A Comparison of Ten Large Language Models and a Conventional Search Engine for Clinical Decision Support in Anesthesiology: Expert Agreement and Physician Perceptions.

BACKGROUND: Advances in artificial intelligence (AI) have enabled large language models (LLMs) to generate complex and contextually relevant medical r...

2025 Labat lecture: the next paradigm - integrating artificial intelligence and robotics to advance regional anesthesia for patients.

From Joint Cognitive Systems to Human-AI Joint Cognitive Systems: A Theory Critique and Application to Obstetric Anesthesia Risk Assessment.

This article examines the joint cognitive systems framework as a foundation for understanding human-machine collaboration. Using Meleis's theory evalu...

[When surgery meets artificial intelligence (AI): Is the lancet of the future or the sword of Damocles? Zheng Minhua, Hu WeiguoDepartment of General Surgery, Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai Minimally Invastve Surgery Center, Shanghai 200025, China].

Artificial intelligence (AI) is reshaping the paradigm of clinical surgical field at an unprecedented pace, demonstrating immense potential in areas s...

[Magnetically Controlled Capsule Endoscopy for Upper Gastrointestinal Examination].

Esophagogastroduodenoscopy (EGD) is the standard diagnostic modality for upper gastrointestinal (UGI) diseases, but its invasive nature and the risk o...

Multimodal Rehabilitation for Advanced Cancer Pain: a Narrative Review of Emerging Nonpharmacological Strategies.

PURPOSE OF REVIEW: This narrative review aims to explore research advances in multimodal rehabilitation for advanced cancer pain, with a primary focus...

Enhancing anesthesia monitoring training: a SPOC and Gagné's model hybrid personalized by artificial intelligence.

BACKGROUND: High-quality training in anesthesia nursing-particularly in intraoperative monitoring-is essential for ensuring patient safety. However, t...

Artificial Intelligence in Craniosynostosis Surgery: A Comparison of Large Language Models in Answering Perioperative Care Questions.

BACKGROUND: Craniosynostosis surgery poses complex challenges for caregivers. Often, they utilize large language models (LLMs) for preoperative and po...

Artificial Intelligence and Guideline-Augmented Prompting in Assessing the Need for Preoperative Cardiology Consultation.

OBJECTIVE: With the growing elderly population worldwide, the number of annual surgical procedures has risen substantially, leading to an increase in ...

Evaluating the efficacy of large language models in predicting intensive care unit admission needs.

BACKGROUND: Timely identification and transfer of critically ill patients to intensive care units (ICUs) are crucial to reducing morbidity and mortali...

Point-of-care ultrasound in the modern era of emergency medicine: a narrative review of the recent literature.

PURPOSE OF REVIEW: Point-of-care ultrasound (POCUS) has transformed emergency medicine by providing a noninvasive, accessible, repeatable, efficient, ...

Full-Endoscopic Spine Surgery for Adjacent Segment Disease Using Artificial Intelligence-Assisted 3-Dimensional MRI/CT Fusion Imaging: A Case Report.

CASE: An 82-year-old woman presented with right medial thigh pain. Her medical history included multiple lumbar decompression and fusion surgeries. Sh...

Dharma: A novel, clinically grounded machine learning framework for pediatric appendicitis-Diagnosis, severity assessment and evidence-based clinical decision support.

Acute appendicitis is a common but diagnostically challenging surgical emergency in children. Existing linear scoring systems lack sufficient accuracy...

Goals of Care Transitions following Postoperative Undertriage.

BACKGROUND: This study tests the hypothesis that postoperative undertriage of high-acuity patients to hospital floor units is associated with new post...

Development of prediction models for perioperative opioid needs in laparoscopic cholecystectomy patients: A machine-learning approach.

BACKGROUND: Changes in opioid prescribing practices have evolved, including perioperative settings. However, computerized clinical decision support sy...

Machine learning-based risk modeling for safety-focused learning curve assessment in robotic left-sided colorectal cancer surgery.

The transition from laparoscopic to robotic surgery for left-sided colorectal cancer raises safety concerns during the learning curve, particularly wh...

Clinician preferences for explainable AI in critical care: a comparative study of interpretable models and visualizations for intubation decision support.

BACKGROUND: The complexity of many AI models hinders their clinical adoption because the clinicians using them do not regard them as transparent. This...

Analytical Approaches for the Determination of Lidocaine and Its Metabolites: A Comprehensive Insight.

Lidocaine (LID), an amide-type local anesthetic and antiarrhythmic agent, remains one of the most extensively used drugs in medical, dental, and surgi...