The integration of Artificial Intelligence (AI) in oral and maxillofacial pathology has opened in a new era of advanced diagnostic capabilities. This systematic review and meta-analysis aim to comprehensively explore the diverse applications of AI in this field, shedding light on its transformative impact on pathology practices.
AI’s applications in oral and maxillofacial pathology span a spectrum of functions, from image analysis to predictive analytics. Computer algorithms, through systematic review of vast datasets, showcase remarkable accuracy in identifying pathological conditions. Image recognition algorithms, for instance, assist in the precise identification of anomalies, aiding pathologists in diagnosis.
Moreover, AI’s ability to conduct meta-analyses accelerates the identification of patterns and correlations within extensive datasets. This not only expedites the research process but also contributes to a more nuanced understanding of various pathological conditions. In addition, AI-driven predictive analytics prove valuable in forecasting disease progression and treatment outcomes, providing a proactive approach to patient care.
In conclusion, this systematic review underscores the transformative role of AI in oral and maxillofacial pathology. The applications of AI, ranging from image analysis to predictive analytics, offer a paradigm shift in diagnostics and research methodologies. As AI continues to evolve, its integration into pathology practices holds great promise for enhancing diagnostic accuracy, treatment planning, and ultimately, patient outcomes in oral and maxillofacial pathology.