Anesthesiology

Latest AI and machine learning research in anesthesiology for healthcare professionals.

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Propofol-associated Hypertriglyceridemia: Development and Multicenter Validation of a Machine-Learning-Based Prediction Tool.

To develop and validate an explainable machine learning (ML) tool to help clinicians predict the ris...

Novel Flexible Ureteroscopic System for intrarenal pelvic and intracaliceal pressure measurement in porcine models.

This study evaluates the consistency between intrarenal pelvic pressures (IPP) and intracaliceal pre...

Simultaneous determination of five alkaloids in extracted and non-extracted poppy APIs by HPLC.

BACKGROUND: Poppy Active Pharmaceutical Ingredients (APIs) are mainly used in the production of anti...

Lipopolysaccharide-induced abdominal nociception model in adult zebrafish (Danio rerio).

In this study, a behavioral model of LPS-induced abdominal nociception was developed in adult zebraf...

Promethazine for nausea and vomiting prevention after gynaecological laparoscopic surgery: A randomized controlled trial.

Postoperative nausea and vomiting (PONV) represent significant concerns for patients undergoing surg...

Artificial intelligence alert system based on intraluminal view for colonoscopy intubation.

Mucosal contact of the tip of colonoscopy causes red-out views, and more pressure may result in perf...

Leveraging advanced graph neural networks for the enhanced classification of post anesthesia states to aid surgical procedures.

Anesthesia plays a pivotal role in modern surgery by facilitating controlled states of unconsciousne...

Predicting Intraoperative Burst Suppression Using Preoperative EEG and Patient Characteristics.

Burst suppression (BS) is an electroencephalogram (EEG) pattern observed in patients undergoing gene...

Diabetes: Non-Invasive Blood Glucose Monitoring Using Federated Learning with Biosensor Signals.

Diabetes is a growing global health concern, affecting millions and leading to severe complications ...

Neural models for detection and classification of brain states and transitions.

Exploring natural or pharmacologically induced brain dynamics, such as sleep, wakefulness, or anesth...

Enhancing Ophthalmic Anesthesia Optimization with Predictive Embedding Models.

Ophthalmic anesthesia the crucial factors in success and safety of ophthalmic surgery, which involve...

A Risk Prediction Model (CMC-AKIX) for Postoperative Acute Kidney Injury Using Machine Learning: Algorithm Development and Validation.

BACKGROUND: Postoperative acute kidney injury (AKI) is a significant risk associated with surgeries ...

Point-of-care ultrasound in obstetric anesthesia clinical practice.

PURPOSE OF THE REVIEW: Point-of-care ultrasound (POCUS) is increasingly recognized as a valuable too...

Effect of esketamine on the EC of remifentanil for suppression of choking cough during extubation.

Choking cough during awakening from anesthesia is common (15%-94%) and can cause severe discomfort a...

Anesthesia depth prediction from drug infusion history using hybrid AI.

BACKGROUND: Accurately predicting the depth of anesthesia is essential for ensuring patient safety a...

Shaping the Future of Cardiac Anesthesia: Emerging Trends and Research Directions.

This article provides an overview of knowledge gaps that need to be addressed in perioperative cardi...

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