Recent research:
Across the publications, the work centers on the intersection of healthcare education, digital technologies, and public health. The study on ChatGPT among health care students reveals how perceived knowledge, usage frequency, risk awareness, and ethical perceptions shape attitudes toward AI tools in medical education, highlighting a need for curricular integration and responsible use in undergraduate programs. The epidemiology-oriented narratives synthesize evidence on craniofacial health and dental conditions, linking temporomandibular posture with craniocervical alignment, and documenting prevalence patterns in periodontal disease, malocclusion, dental fluorosis, and pulp necrosis in clinical settings. A thematic thread is the translation of clinical observations and literature into insights for prevention, regulation, and multidisciplinary management, emphasizing education, clinical ethics, and public health implications of dental and orofacial conditions. Methodologies range from cross-sectional surveys and narrative reviews to prevalence studies, employing descriptive statistics, regression analyses, and qualitative synthesis to inform clinicians, educators, and policymakers about risk factors, associations, and care pathways. Impact lies in informing educational strategies for AI literacy in health care, advocating for ethical and regulatory consideration of AI in education, and reinforcing multidisciplinary approaches to odontogenic infections and temporomandibular disorders for improved patient outcomes.
Key Topics:

• Healthcare, Clinical Epidemiology & Public Health
• Artificial Intelligence, Machine Learning & Data Science
• Natural Language Processing, Conversational AI & Text Analytics
• Education, Pedagogy, Teacher Training & Inclusion
• Educational Technology, Gamification, XR & Learning Analytics
• Governance, Law, Policy, Ethics & Regulation