Binny Naik

Papers

Total Citations

H-Index

About

Binny Naik is a researcher at the intersection of artificial intelligence and healthcare, with a primary focus on the early detection and classification of neurodegenerative diseases. Her most impactful work, "Denouements of machine learning and multimodal diagnostic classification of Alzheimer’s disease" (2020, 42 citations), stands as a significant contribution to the field. In this study, Naik explores how integrating multiple neuroimaging modalities—such as MRI and PET scans—with machine learning algorithms can enhance the accuracy of Alzheimer’s disease diagnosis. This work addresses a critical challenge in neurology, where early and precise detection remains elusive. Beyond clinical applications, Naik has also ventured into agricultural technology, as seen in her 2022 paper on "Augmentation of Precision Agriculture by Application of Artificial Intelligence." This research demonstrates the versatility of AI, applying it to optimize crop management and sustainability. While her citation count is still growing, Naik’s work is foundational for researchers seeking to leverage multimodal data for complex diagnostic tasks, and her interdisciplinary approach marks her as a forward-thinking scientist bridging AI, medicine, and agriculture.