The Combined Improvement of Acute Exercise Fatigue through Hyperbaric Oxygen and Astaxanthin Under the Background of Artificial Intelligence

Abstract

Objective this work explored the application research of artificial intelligent (AI) algorithms in the oral and psychological rehabilitation of patients with chronic diseases through deep learning and hyperbaric oxygen combined with astaxanthin therapy. Materials and Methods a model was constructed using convolutional neural network (CNN) combined with multivariate gaussian distribution (MGD) to comprehensively analyze multi-mode health data (numeric, textual, and image). The performance of the CNN model and the CNN + MGD model was compared in terms of accuracy (Acc), area under the receiver operating characteristic curve (AUC), precision (Pre), and recall rate (Recall). Shanghai active football players were selected as the research subjects and divided into a control group, a hyperbaric oxygen intervention group, and a hyperbaric oxygen + astaxanthin intervention group. An AI system was adopted to analyze the electronic health data of patients, assess the efficacy of hyperbaric oxygen in eliminating acute fatigue in patients with chronic diseases, and explore its relationship with oral and psychological health. Results the Acc, AUC, Pre, and Recall of the CNN + MGD model were significantly higher than those of the three-dimensional CNN model (P < 0.05), demonstrating superior performance. Hyperbaric oxygen + astaxanthin treatment significantly promoted the elimination of acute fatigue in patients (P < 0.05), accelerated the recovery of blood oxygen saturation and muscle oxygen saturation, and significantly affected the degradation of blood lactate (P < 0.05). As a result, it rapidly reduced blood oxygen saturation and muscle oxygen saturation after acute fatigue exercise. The oral health-related quality of life in patients with chronic diseases was positively correlated with depression and anxiety levels. Psychological intervention can be conducted in clinical treatment to improve the treatment effect. Conclusion this work comprehensively evaluated the oral and psychological rehabilitation effects in patients with chronic diseases through deep analysis of electronic health data using intelligent algorithms that integrate deep learning with hyperbaric oxygen and astaxanthin therapy. The results suggested that hyperbaric oxygen + astaxanthin treatment not only significantly improved blood indicators but also exhibited a positive correlation with oral health-related quality of life and psychological health, providing a new treatment approach for patient recovery. Therefore, the research results were of great significance for improving patient quality of life and enhancing clinical treatment efficacy.