Kasarapu Ramani

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About

Dr. Kasarapu Ramani is a researcher at the intersection of computer vision and dental healthcare, with a focused interest in applying deep learning to medical image analysis. Their most notable contribution is the development of a Mask R-CNN with ResNet50 architecture specifically designed for automated dental filling detection. This work addresses a critical need in preventive dentistry: the early identification of tooth damage that, if left untreated, can lead to severe pain and eating difficulties. By leveraging instance segmentation, Dr. Ramani’s model can precisely locate and classify dental fillings, offering a non-invasive tool to help dentists safeguard natural tooth structure. Though early in its citation trajectory with 5 citations to date, this paper marks a significant step toward integrating artificial intelligence into routine dental diagnostics. Dr. Ramani’s research underscores a practical, patient-centered approach—using advanced neural networks to close the gap between minor tooth damage and timely intervention, ultimately aiming to preserve oral function and quality of life.