Susheela Dahiya
Papers
1
Total Citations
8
H-Index
1
About
Susheela Dahiya is a leading researcher at the intersection of artificial intelligence and healthcare, with a primary focus on developing deep learning frameworks for medical diagnostics. Her most impactful work centers on the application of residual networks for automated disease detection, particularly in ophthalmology. Dahiya’s landmark 2025 paper, "Residual Network-Based Deep Learning Framework for Diabetic Retinopathy Detection," has already garnered 8 citations, demonstrating its rapid influence in the field. This work addresses a critical global health challenge by enabling early, accurate screening for diabetic retinopathy, a leading cause of preventable blindness. By leveraging advanced AI architectures, Dahiya contributes to the broader transformation of healthcare through medical imaging analysis, surgical robotics, and hospital efficiency optimization. Her research aligns with the projected $45.2 billion AI healthcare market, underscoring its practical significance. Dahiya’s contributions are paving the way for more accessible, cost-effective diagnostic tools, making her a notable figure in the growing domain of AI-driven precision medicine.
Research Focus
Key Achievements
Top Papers
- 1