Latest AI and machine learning research in anesthesiology for healthcare professionals.
Regional anaesthesia (RA) is a powerful tool in combat casualty care. As contemporary warfare evolves towards major engagements and delayed evacuations, the need for effective, durable and logistically feasible pain management has become critical. RA offers significant clinical and tactical advantages by providing sustained analgesia without impairing consciousness. Despite this, its use remains l...
BACKGROUND AND OBJECTIVE: There is growing interest to further incorporate artificial intelligence into clinical practice. Perioperative decision-making for patients considered for regional anesthesia is complex, and the use of artificial intelligence as a clinical decision support tool in this context is underinvestigated. We aim to evaluate large language models (LLMs) when prompted with clinica...
Chronic pain affects approximately 20% of the global population, leading to significant disability and economic burden. Traditional management strateg...
INTRODUCTION: Aconitine, the main toxic and active compound in Aconitum species, is a key component of Traditional Chinese Medicine (TCM), valued for ...
Postoperative cognitive dysfunction (POCD), a heterogeneous spectrum of surgery/anesthesia-associated neurocognitive impairments, represents a critica...
BACKGROUND: Burnout (BO) is a serious issue affecting professionals across various sectors, leading to adverse psychological and occupational conseque...
BACKGROUND: The larynx of infants and neonates is occasionally challenging to identify using video laryngoscope. This study aimed to develop an artifi...
PURPOSE: Pain management after cardiac surgery is imperative, as inadequate analgesia can increase the risk of myocardial ischemia, thromboembolism, a...
BackgroundArtificial intelligence (AI), particularly large language models (LLMs), has gained attention for its clinical applications. While LLMs have...
In recent years, the medical field has seen significant advancements in the field of robotics and artificial intelligence (AI). However, many healthca...
Accurate prediction of postoperative mortality risk after cardiac surgery is essential to improve patient outcomes. Traditional models, such as EuroSC...
BACKGROUND: Neuroimaging studies have linked the beneficial effects of subanaesthetic ketamine doses in psychiatric conditions characterized by chroni...
PURPOSE: Forecasting the depth of anesthesia (DOA) is significant for adjusting the dosage of propofol infusion during total intravenous anesthesia. T...
PURPOSE: ChatGPT and other large language models (LLMs) have gained immense popularity since their commercial release in 2022, with applications in va...
Currently, the most actively investigated rapidly acting antidepressants, anxiolytics and/or anti PTSD agents, include psychedelics e.g. psilocybin, L...
UNLABELLED: The use of artificial intelligence in medicine is rapidly expanding. Large language models, such as ChatGPT, have the potential to enhance...
Procedural sedation is often performed by non-anesthesiologists in various settings and can lead to respiratory depression. A tool that enables early ...