AI-ASSISTED INDIVIDUALIZED ANESTHESIA DOSAGE SELECTION
Abstract
The administration of anesthesia requires precise dosing to balance patient safety and procedural efficacy. Traditional methods often rely on standardized protocols and clinician experience, which may not account for inter-individual variability in pharmacokinetics and pharmacodynamics. Artificial Intelligence (AI) offers a transformative approach by integrating patient-specific data—such as age, weight, comorbidities, genetic profiles, and real-time physiological parameters—to optimize anesthesia dosing. AI-assisted systems utilize machine learning models and predictive algorithms to recommend individualized doses, reduce adverse events, and enhance recovery outcomes. This thesis explores the application of AI in anesthesia dosage selection, discussing computational frameworks, clinical utility, benefits, limitations, and future directions.
References
Mason, K.P., Zurakowski, D., Tobias, J.D. and Palermo, T.M. (2020) ‘Artificial Intelligence in Pediatric Anesthesia: Current Status and Future Directions,’ Paediatric Anaesthesia, 30(1), pp. 16–27.
Smith, A.F., Biddle, C., and Harrison, E.M. (2018) ‘Individualized Anesthesia and Analgesia: The Role of Predictive Modeling,’ British Journal of Anaesthesia, 120(4), pp. 705–718.
Topol, E.J. (2019) Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books.
Zhou, Y., Zhang, T., and Li, X. (2021) ‘Reinforcement Learning for Closed-Loop Anesthesia Control: A Review,’ Artificial Intelligence in Medicine, 117, 102098.
Esteva, A., Robicquet, A., Ramsundar, B., Kuleshov, V., DePristo, M., Chou, K., Cui, C., Corrado, G., Thrun, S. and Dean, J. (2019) ‘A Guide to Deep Learning in Healthcare,’ Nature Medicine, 25, pp. 24–29.
Banaee, H., Ahmed, M.U. and Loutfi, A. (2013) ‘Data Mining for Wearable Sensors in Health Monitoring Systems: A Review of Recent Trends and Challenges,’ Sensors, 13(12), pp. 17472–17500.
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Copyright (c) 2025 Fazliddin Arziqulov, Sayfullayeva Dilbar Izzatillayevna, Maxsudov Valijon Gafurjonovich (Author)
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