Lilian Toledo Reyes
Papers
1
Total Citations
42
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1
About
Lilian Toledo Reyes is a leading researcher at the intersection of artificial intelligence and dental medicine, with a primary focus on developing machine learning applications for oral health diagnostics. Her most impactful work, a systematic review titled "Machine Learning in the Diagnosis and Prognostic Prediction of Dental Caries" (2022, 42 citations), critically evaluates the success of AI algorithms in detecting and forecasting dental caries progression. This study, with its protocol pre-registered in PROSPERO (CRD42020183447), systematically analyzed evidence from major databases like PubMed/Medline, establishing a rigorous benchmark for AI-driven dental diagnostics. By synthesizing current machine learning approaches, Reyes has provided a foundational framework for integrating predictive analytics into clinical dentistry, potentially revolutionizing early caries detection and treatment planning. Her work bridges computational methods with practical healthcare needs, offering students and researchers a clear roadmap for applying AI to improve patient outcomes. Reyes's contributions are particularly notable for their methodological transparency and direct clinical relevance, positioning her as a key figure in the emerging field of computational oral health.
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