Modern dentistry is undergoing a rapid digital transformation requiring the integration of clinical and educational technologies to enhance the quality of care grounded in evidence-based medicine.<\/p>\n
AI\u2011assisted workflow<\/strong> is described in a technical report as a practical approach enabling the clinician-dentist without formal education in software engineering to rapidly create specialized applications for scientific research, training courses and clinical digitalization. The report contains an analytical description, resources and practical recommendations with a step-by-step structure and links to open source code, which increases reproducibility and lowers barriers to implementation in educational and clinical settings.<\/p>\n A key factor of progress is not only the availability of computational tools but also the ability of the clinical team to transform domain knowledge into software solutions supported by generative AI<\/strong>. The authors propose a five-step workflow including identification of the clinical need, description of functionality in plain language, code generation using AI, testing and refinement, preparation of documentation and publication, which provides early validation of requirements and synchronization of standards in an interdisciplinary ecosystem. It is important to consider AI tools not only as code generators but also as means of integrating clinical, pedagogical and engineering knowledge to accelerate the diffusion of innovations.<\/p>\n To demonstrate the approach, the report presents three open applications, each aimed at educational or research tasks and implemented within 22 to 32 hours, which illustrates the predictability of prototyping. VirtualEndo Converter<\/strong> converts STL<\/strong> files obtained from CBCT<\/strong> for visualization in augmented and virtual reality; MeshComparisonTool<\/strong> provides quantitative three-dimensional morphological comparisons; DentalEmergencyTrainer<\/strong> simulates emergency telephone scenarios in dental trauma for practicing telephone triage skills and clinical decision-making. These tools serve both as training modules and as prototypes for further clinical validation.<\/p>\n The communication from authors in Munich, published in Journal of Dentistry on 26 June 2026, emphasizes the role of local research centers and international collaboration in transforming the methodology of developing digital solutions. Of particular value is the detailed guidance on the workflow, including benchmarks for validation, security issues and maintaining code quality, which is critical when integrating into clinical protocols and considering regulatory requirements and standards for quality management and data protection.<\/p>\nEcosystem as a key factor: five-step workflow<\/h2>\n
Educational ecosystem: structure and content<\/h2>\n
Munich as a strategic venue and international cooperation<\/h2>\n
Limitations and requirements for validation<\/h2>\n