AIMC Topic: Anesthesia
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A Deep Learning Framework for Anesthesia Depth Prediction from Drug Infusion History.
Sensors (Basel, Switzerland)
Nov 6, 2023
In the target-controlled infusion (TCI) of propofol and remifentanil intravenous anesthesia, accurate prediction of the depth of anesthesia (DOA) is very challenging. Patients with different physiological characteristics have inconsistent pharmacodyn...
Artificial intelligence and its clinical application in Anesthesiology: a systematic review.
Journal of clinical monitoring and computing
Oct 21, 2023
PURPOSE: Application of artificial intelligence (AI) in medicine is quickly expanding. Despite the amount of evidence and promising results, a thorough overview of the current state of AI in clinical practice of anesthesiology is needed. Therefore, o...
Bilateral subgaleal hematoma after a robot-assisted radical prostatectomy: an uncommon complication.
Anales del sistema sanitario de Navarra
Aug 31, 2023
Robot-assisted radical prostatectomy is a relatively recent technique. Its advantages include less invasiveness and better pain management, but has specific anesthesia requirements, such as steep Trendelenburg position and pneumoperitoneum. Mild comp...
Open Access Websites for Anesthesia Education: Time to Rely on Artificial Intelligence?
Anesthesia and analgesia
Jul 14, 2023
Impact of the presence of a humanoid robot in the anesthesia visit waiting room on patient's satisfaction: the PEPPER before-after study.
Minerva anestesiologica
Oct 26, 2022
BACKGROUND: The quality of information during a medical visit, such as a preoperative anesthesia visit, impacts patient's satisfaction. New digital supports, including humanoid robots, have been recently proposed to provide medical information to pat...
Critical element prediction of tracheal intubation difficulty: Automatic Mallampati classification by jointly using handcrafted and attention-based deep features.
Computers in biology and medicine
Oct 4, 2022
Preoperative assessment of the difficulty of tracheal intubation is of great importance in anesthesia practice because failed intubation can lead to severe complications and even death. The Mallampati score is widely used as a critical assessment cri...
Inference of Brain States Under Anesthesia With Meta Learning Based Deep Learning Models.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
May 2, 2022
Monitoring the depth of unconsciousness during anesthesia is beneficial in both clinical settings and neuroscience investigations to understand brain mechanisms. Electroencephalogram (EEG) has been used as an objective means of characterizing brain a...
The past, the present and the future of machine learning and artificial intelligence in anesthesia and Postanesthesia Care Units (PACU).
Minerva anestesiologica
Mar 23, 2022
Over the past decade, artificial intelligence (AI) has largely penetrated our daily life. Hence, our expectations regarding clinical AI are very high. However, in healthcare and especially in perioperative medicine, the impact of AI is still relative...
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