Fernanda Ruffo Ortiz
Papers
1
Total Citations
42
H-Index
1
About
Fernanda Ruffo Ortiz is a rising leader in the application of artificial intelligence to oral health, with a primary research focus on the intersection of machine learning and dental diagnostics. Her most cited work, a 2022 systematic review titled "Machine Learning in the Diagnosis and Prognostic Prediction of Dental Caries," has already garnered 42 citations, establishing her as a key voice in this emerging field. In this landmark study, Ortiz and her team rigorously evaluated the performance of various machine learning algorithms for detecting and predicting caries progression, with their protocol pre-registered in PROSPERO (CRD42020183447). By synthesizing evidence from major databases like PubMed/Medline, she provided a critical framework for how AI can enhance diagnostic accuracy and prognostic forecasting in dentistry. Her contributions are particularly notable for bridging the gap between computational methods and clinical practice, offering a roadmap for integrating predictive models into routine care. Ortiz’s work not only advances precision dentistry but also underscores her commitment to evidence-based innovation, making her a researcher to watch for future breakthroughs in digital health and oral epidemiology.
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Top Papers
- 1