AIMC Topic: Anesthesia
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Evaluation of a transcutaneous method to assess canine liver function by indocyanine green plasma disappearance rate in healthy adult Beagle dogs.
Veterinary journal (London, England : 1997)
Nov 2, 2015
A non-invasive, transcutaneous method using near infrared spectroscopy to assess indocyanine green plasma disappearance rate (ICG-PDR) in healthy dogs subjected to different conditions was evaluated in eight healthy purpose-bred Beagles under isoflur...
EEG Signals Analysis Using Multiscale Entropy for Depth of Anesthesia Monitoring during Surgery through Artificial Neural Networks.
Computational and mathematical methods in medicine
Sep 28, 2015
In order to build a reliable index to monitor the depth of anesthesia (DOA), many algorithms have been proposed in recent years, one of which is sample entropy (SampEn), a commonly used and important tool to measure the regularity of data series. How...
Capnodynamic assessment of effective lung volume during cardiac output manipulations in a porcine model.
Journal of clinical monitoring and computing
Sep 16, 2015
A capnodynamic calculation of effective pulmonary blood flow includes a lung volume factor (ELV) that has to be estimated to solve the mathematical equation. In previous studies ELV correlated to reference methods for functional residual capacity (FR...
Lung Volume Measurements
Functional Residual Capacity
Sulfur Hexafluoride
Cardiac Output
Respiratory Function Tests
Lung Injury
Positive-Pressure Respiration
Hemodynamics
Tidal Volume
Regional Blood Flow
Time Factors
Reference Values
Surface-Active Agents
Models, Theoretical
Anesthesia
Animals
Lung
Swine
[Robot-assisted surgery in visceral and thoracic surgery gynaecology, urology--importantanaesthetic considerations].
Anasthesiologie, Intensivmedizin, Notfallmedizin, Schmerztherapie : AINS
Feb 27, 2015
Robot-assisted surgery, as a development of laparoscopic surgery, has an increasing field of application. Beside urology, this technique has also been implemented in visceral and thoracic surgery and gynaecology. For the surgeon an enhanced view of t...
Sample entropy analysis of EEG signals via artificial neural networks to model patients' consciousness level based on anesthesiologists experience.
BioMed research international
Feb 8, 2015
Electroencephalogram (EEG) signals, as it can express the human brain's activities and reflect awareness, have been widely used in many research and medical equipment to build a noninvasive monitoring index to the depth of anesthesia (DOA). Bispectra...
Emerging Technology and the Future of Perioperative Care: Perspectives and Recommendations From the 2023 Stoelting Conference of the Anesthesia Patient Safety Foundation.
Anesthesia and analgesia
Jul 1, 2025
Anesthesiology has a longstanding commitment to patient safety, characterized by innovative research, quality improvement, multidisciplinary collaboration, and engineering-based approaches to care systems. The field has been instrumental in advancing...
Multi-layered data framework for enhancing postoperative outcomes and anaesthesia management through natural language processing.
SLAS technology
Jun 1, 2025
Anaesthesia management is a critical aspect of perioperative care, directly influencing postoperative recovery, pain management, and patient outcomes. Despite advancements in anaesthesia techniques, variability in patient responses and unexpected pos...
Generation of preoperative anaesthetic plans by ChatGPT-4.0: a mixed-method study.
British journal of anaesthesia
May 1, 2025
BACKGROUND: Recent advances in artificial intelligence (AI) have enabled development of natural language algorithms capable of generating coherent texts. We evaluated the quality, validity, and safety of this generative AI in preoperative anaesthetic...
Successful robot-assisted laparoscopic resection of pheochromocytoma in a patient with dilated cardiomyopathy: A case report on extremely high-risk anesthesia management.
Medicine
Oct 13, 2023
RATIONALE: Anesthetic management during resection of pheochromocytoma is a huge challenge, especially when accompanied by dilated cardiomyopathy (DCM). However, there is a lack of research evidence in this area.
[Anesthesia Depth Monitoring Based on Anesthesia Monitor with the Help of Artificial Intelligence].
Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
Jan 30, 2023
OBJECTIVE: To use the low-cost anesthesia monitor for realizing anesthesia depth monitoring, effectively assist anesthesiologists in diagnosis and reduce the cost of anesthesia operation.
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