Objectives: To examine the effects of training exercises prescribed according to the lactate-threshold load on selected neurotransmitters, biochemical indicators, and physical and motor performance among young boxers. Materials and Methods: A one-group experimental pretest–posttest design was employed with a sample of young boxers. Participants completed a structured exercise program in which the training load was prescribed according to their lactate threshold and supported by artificial intelligence–based methods. Acetylcholine, serotonin, carbonic acid, haemoglobin, and selected physical and motor performance variables were assessed before and after the intervention. The pretest and posttest data were classified, analysed, and compared to determine changes following the program. Results: Significant differences were observed between the pretest and posttest measurements across all investigated variables, with the posttest results consistently favouring improved neurotransmitter responses, biochemical indicators, and physical and motor performance. Conclusions: Lactate-threshold–based training was associated with favourable changes in the measured physiological, physical, and motor variables among young boxers. Incorporating artificial intelligence–supported methods into training-load prescription may assist coaches in individualising exercise intensity and optimising athletic development. Further controlled studies with larger samples are needed to confirm these findings.
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