Back to search

Article

Development of AI Model For Precision Anaesthesia Dosage Optimization

2025-02-03

Abstract excerpt

This research explores the creation of an AI-driven model to improve anesthesia dosage precision, particularly for pediatric patients. Children present unique challenges in anesthesia due to their developing organs and varying metabolism. Traditional methods often rely on generalized guidelines and clinician expertise, which may not adequately address individual variability, especially in pediatrics. To overcome t...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
ba36d2d5-a505-565a-831c-e20cda88c91c
DOI
10.20944/preprints202502.0065.v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Development of AI Model For Precision Anaesthesia Dosage OptimizationDOI 10.20944/preprints202502.0065.v1
Feasibility of Intelligent Drug Control in the Maintenance Phase of General Anesthesia Based on Convolutional Neural NetworkSemantic proximity
A Comprehensive Systematic Review and Meta-Analysis: Evaluating the Effectiveness and Integration Obstacles of Artificial Intelligence (AI) within Anesthesia Departments.Semantic proximity
Epidemiology of adverse events attributed to airway management in pediatric anesthesia: A protocol for a Japan Pediatric Difficult Airway in Anesthesia study (J-PEDIA)Semantic proximity
An Observational Study to Measure the Depth of Hypnosis Using Entropy in Indian Paediatric Population Under General AnesthesiaSemantic proximity
Challenges in Anesthesia Personalization: Resolving the Pharmacogenomic PuzzleSemantic proximity
Determination of the 90% effective dose of remimazolam for anesthesia induction in children undergoing ophthalmic procedures: A biased-coin design up-and-down sequential trialSemantic proximity
Protocol for the PEACH in Asia Study: A Prospective Multinational Multicenter Observational Study on the Epidemiology of Severe Critical Events in Pediatric Anesthesia in AsiaSemantic proximity
External validation of the predictive performance of population pharmacokinetic models for phenobarbital in pediatric patientsSemantic proximity
AI vs. population pharmacokinetic models to predict the concentrations of antiepileptic drug using TDM recordsSemantic proximity
A machine learning approach to population pharmacokinetic modelling automationSemantic proximity
General purpose propofol target-controlled infusion using the Marsh model with adjusted weight inputSemantic proximity
Efficacy and Efficiency of Artificial Intelligence-based Preoperative Anesthesia Evaluation: A Randomized Controlled Non-Inferiority StudySemantic proximity
Select a neighboring publication to make it the new centre.