AIMC Topic: Anesthesia

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A novel method for conformity assessment testing of anaesthesia machines for post-market surveillance purposes.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2023
BACKGROUND: Anaesthesia machines, as moderate to high-risk medical devices intended for use on patients during surgical procedures must be safe and reliable with traceable performance every time they are used in healthcare practice. The new Medical D...
Artificial Intelligence Reproducibility of Results Anesthesia Humans
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ANESTHESIA FOR ROBOT-ASSISTED RADICAL PROSTATECTOMY - A CHALLENGE FOR ANAESTHESIOLOGIST.

Acta clinica Croatica Oct 1, 2022
Mininimally invasive surgery has become one of the most popular ones over the last few decades due to many benefits. The advantages are minimal surgical incision, reduced blood loss, reduced postoperative pain, faster postoperative recovery, shorter ...
Laparoscopy Robotic Surgical Procedures Anesthesia Male Postoperative Complications Robotics Prostatectomy Pneumoperitoneum Humans
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Relationship of MRI-measured pelvimetric dimensions and surgical positions with anaesthesia parameters in robotic perineal prostatectomy.

Archivos espanoles de urologia Jan 1, 2022
Theaim of this study was to determine the effect formedby pelvic diameters preoperatively measured throughmultiparametric magnetic resonance imaging (mp-MRI) and different surgical positions on anesthesiaparameters used during perineal robot-assisted...
Magnetic Resonance Imaging Robotics Humans Anesthesia Robotic Surgical Procedures Male Prostatectomy
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Back to the OR of the Future: How Do We Make It a Good One?

Anesthesiology Aug 1, 2021
Humans Artificial Intelligence Anesthesia Perioperative Care Anesthesiology Operating Rooms
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[Application of Machine Learning Algorithm in Anesthesia].

Zhongguo yi xue ke xue yuan xue bao. Acta Academiae Medicinae Sinicae Oct 1, 2020
The application of artificial intelligence in medical field is promoting medical innovations.Specifically,machine learning algorithm promotes the development of anesthesiology.This review elucidates the basic concept,research advances,application,and...
Humans Machine Learning Algorithms Anesthesia Anesthesiology
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Machine Learning and Artificial Intelligence in Pediatric Research: Current State, Future Prospects, and Examples in Perioperative and Critical Care.

The Journal of pediatrics Jun 1, 2020
Artificial Intelligence Hospital Mortality Machine Learning Humans Algorithms Airway Management Intensive Care Units, Pediatric Critical Care Postoperative Complications Biomedical Research Perioperative Care Patient Admission Blood Transfusion Hemorrhage Monitoring, Intraoperative Anesthesia Risk Assessment Ultrasonography Intraoperative Complications Heart Arrest
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Augmented intelligence in pediatric anesthesia and pediatric critical care.

Current opinion in anaesthesiology Jun 1, 2020
PURPOSE OF REVIEW: Acute care technologies, including novel monitoring devices, big data, increased computing capabilities, machine-learning algorithms and automation, are converging. This enables the application of augmented intelligence for improve...
Artificial Intelligence Machine Learning Child Intelligence Critical Care Anesthesia Humans
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Machine-Learning Implementation in Clinical Anesthesia: Opportunities and Challenges.

Anesthesia and analgesia Jun 1, 2020
Anesthesia Data Collection United States Food and Drug Administration Medical Informatics Decision Support Systems, Clinical United States Decision Making Europe Workflow Confidentiality Electronic Health Records Humans Point-of-Care Systems Machine Learning Clinical Competence
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Autonomous Systems in Anesthesia: Where Do We Stand in 2020? A Narrative Review.

Anesthesia and analgesia May 1, 2020
As most of us are aware, almost every facet of our society is becoming, for better or worse, progressively more technology-dependent. Technological advancement has made autonomous systems, also known as robots, an integral part of our life in several...
Humans Robotics Anesthesia Technology, Pharmaceutical
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Patient-Specific Classification of ICU Sedation Levels From Heart Rate Variability.

Critical care medicine Jul 1, 2017
OBJECTIVE: To develop a personalizable algorithm to discriminate between sedation levels in ICU patients based on heart rate variability.
Boston Male Heart Rate Middle Aged Pilot Projects Intensive Care Units Respiration, Artificial Female Electrocardiography Aged Support Vector Machine Humans Algorithms Anesthesia
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