Improvement of treatment methods for acute and chronic traumatic lesions of the oral mucosa in children
pediatric oral mucosal trauma; traumatic oral ulcer; regenerative medicine; precision pediatric dentistry; artificial intelligence; wound healing; oral microbiome; digital oral pathology
AuthorsAbstractTraumatic lesions of the oral mucosa are among the most common oral conditions in children and represent a significant clinical challenge because of rapid tissue injury, persistent pain, impaired nutrition, increased susceptibility to secondary infection, and the potential progression from acute to chronic lesions. Conventional treatment strategies are primarily symptom-oriented and often fail to consider the biological complexity of wound healing or the individual regenerative capacity of pediatric patients. This study aimed to develop and evaluate a precision regenerative approach for improving the diagnosis and treatment of acute and chronic traumatic lesions of the oral mucosa in children through the integration of clinical assessment, inflammatory biomarkers, regenerative medicine, digital imaging, and artificial intelligence-assisted wound analysis. A prospective comparative clinical study was designed involving pediatric patients with acute traumatic ulcers, chronic traumatic lesions, and healthy controls. Comprehensive clinical examinations, digital wound documentation, histopathological evaluation when clinically indicated, immunohistochemical assessment of regenerative biomarkers, oxidative stress analysis, oral microbiome profiling, and AI-assisted digital wound assessment were incorporated into a multidimensional diagnostic and therapeutic framework. The integrated approach demonstrated superior wound healing outcomes, reduced inflammatory activity, accelerated epithelial regeneration, improved angiogenic response, and greater accuracy in predicting delayed healing compared with conventional management strategies. Machine-learning analysis identified combinations of clinical severity, biomarker expression, oxidative stress parameters, and microbial profiles as the strongest predictors of treatment response. The principal innovation of this study is the development of the Integrated Pediatric Oral Mucosal Trauma Management Framework (IPOMTMF), a novel precision medicine model that combines biological, clinical, digital, and computational indicators to support individualized treatment planning. This framework advances regenerative pediatric oral medicine by shifting management from standardized protocols toward personalized therapeutic strategies based on objective biological risk assessment. The proposed approach has the potential to improve clinical decision-making, enhance healing outcomes, reduce complications associated with chronic oral mucosal trauma, and establish a new evidence-based direction for precision pediatric dentistry and regenerative oral medicine.
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