Andre Esteva
Papers
1
Total Citations
4,608
H-Index
1
About
Andre Esteva is a leading researcher at the intersection of artificial intelligence and medicine, best known for pioneering deep learning applications in healthcare. His seminal work, "A guide to deep learning in healthcare" (2018), has amassed over 4,600 citations, serving as a foundational resource for the field. Esteva’s major contributions include developing convolutional neural networks for dermatological diagnosis, achieving dermatologist-level classification of skin lesions—a breakthrough that demonstrated AI’s potential to augment clinical decision-making. He has also advanced medical imaging analysis and predictive modeling, with his research influencing how AI integrates into radiology, pathology, and personalized treatment planning. Esteva’s work has been recognized with awards such as the Stanford Graduate Fellowship and features in top-tier journals like *Nature*. By bridging computational methods with clinical needs, he has shaped a new paradigm for data-driven healthcare, inspiring both researchers and practitioners to explore AI’s transformative role in medicine.
Research Focus
Key Achievements
Top Papers
- 1A guide to deep learning in healthcare4,608 citations · 2018