Ravi Rai Dangi

Charotar University of Science and Technology

Papers

Total Citations

H-Index

About

Dr. Ravi Rai Dangi is a leading researcher at the intersection of artificial intelligence and global health equity, with a primary focus on deploying AI-driven solutions in low-resource settings. His most cited work, "Transforming Healthcare in Low‐Resource Settings With Artificial Intelligence: Recent Developments and Outcomes" (2024, 62 citations), provides a comprehensive analysis of how machine learning, natural language processing, and robotics can overcome infrastructural and financial barriers in underserved communities. Dr. Dangi’s major contribution lies in demonstrating that AI-powered diagnostic tools and predictive analytics can dramatically improve clinical outcomes where traditional healthcare infrastructure is limited. His research has been instrumental in shaping policy discussions around scalable, cost-effective health technologies for developing nations. By bridging the gap between cutting-edge computational methods and real-world clinical needs, Dr. Dangi has established himself as a pivotal voice in the movement toward democratized healthcare. His work continues to inspire a new generation of researchers to harness AI not merely for innovation, but for tangible, life-saving impact in the world’s most vulnerable populations.