Artificial Intelligence in Hyperbaric Medicine: Examples of Applications

Justyna Kęczkowska; Małgorzata Płaza; Piotr Siermontowski; Gabriela Henrykowska

doi:10.2478/phr-2026-0004

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Artificial Intelligence in Hyperbaric Medicine: Examples of Applications

Polish Hyperbaric Research

Volume 94 (2026): Issue 1 (March 2026)

By: Justyna Kęczkowska, Małgorzata Płaza, Piotr Siermontowski and Gabriela Henrykowska

Open Access

|Aug 2026

Abstract

Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing modern medicine and hyperbaric oxygen therapy (HBOT) is currently on the threshold of this transformation. This narrative review analyses current AI applications in HBOT, focusing on four key areas: prognostic modelling, safety monitoring, chamber automation, and precision medicine based on omic data.

In predictive modelling, ML algorithms demonstrate high efficacy in forecasting outcomes for sudden sensorineural hearing loss and chronic wound healing. Regarding safety surveillance, the fusion of autonomic signals (e.g., EDA, HRV) represents a breakthrough in the early detection of CNS oxygen toxicity, allowing preventive introduction of air breaks. Advanced control algorithms allow high-precision protocol execution and personalised compression kinetics. Furthermore, integrating transcriptomic and metabolic data paves the way for a deeper understanding of the mechanisms underlying the response to hyperbaric stress.

Despite promising results, most available evidence comes from single-center retrospective studies. Key obstacles include a lack of standardization for oxygen “dose” variables, limited external validation, and regulatory challenges. This paper identifies translational priorities, such as development of multicenter data registries and implementing “human-in-the-loop” clinical decision support systems. Standardization and prospective validation are essential for AI to become a cornerstone of personalized hyperbaric medicine.

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Articles in this issue

DOI: https://doi.org/10.2478/phr-2026-0004 | Journal eISSN: 2084-0535 | Journal ISSN: 1734-7009

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Language: English

Page range: 57 - 74

Submitted on: Jan 7, 2026

Accepted on: Jan 25, 2026

Published on: Aug 29, 2026

Published by: Polish Hyperbaric Medicine and Technology Society

In partnership with: Paradigm Publishing Services

Keywords:

hyperbaric oxygen therapy,

artificial intelligence,

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© 2026 Justyna Kęczkowska, Małgorzata Płaza, Piotr Siermontowski, Gabriela Henrykowska, published by Polish Hyperbaric Medicine and Technology Society
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 94 (2026): Issue 1 (March 2026)