Greg S. Corrado

Papers

Total Citations

4,608

H-Index

About

Greg S. Corrado is a pioneering researcher at the intersection of artificial intelligence and healthcare, best known for his seminal work on deep learning applications in medicine. His landmark paper, "A guide to deep learning in healthcare" (2018), has amassed over 4,600 citations, serving as a foundational resource for researchers and practitioners alike. Corrado’s major contributions include advancing the use of neural networks for clinical decision support, medical imaging analysis, and predictive diagnostics, demonstrating how AI can transform patient outcomes. As a key figure at Google Health, he has led efforts to integrate machine learning into real-world healthcare systems, notably developing algorithms for diabetic retinopathy screening and cardiovascular risk prediction. His work bridges the gap between cutting-edge AI research and practical clinical implementation, earning him recognition as a thought leader in the field. Corrado’s impact is evident not only in his citation counts but also in the widespread adoption of his methodologies across hospitals and research institutions globally, making him an essential voice for students and researchers exploring AI-driven healthcare innovation.