Vrushab Gowda

Papers

Total Citations

H-Index

About

Vrushab Gowda is a researcher at the intersection of artificial intelligence and occupational medicine, with a primary focus on leveraging AI to address critical challenges in pulmonary health diagnostics. His most notable work, "The B Reader Program, Silicosis, and Physician Workload Management" (2021), examines how AI-driven pattern recognition can transform the detection and classification of silicosis—a debilitating lung disease caused by inhaling crystalline silica dust. Gowda’s research highlights the potential of machine learning algorithms to not only match but exceed the diagnostic speed and accuracy of human experts, thereby alleviating the mounting workload pressures on radiologists and B Readers. This contribution is particularly significant given the global resurgence of silicosis and the shortage of certified readers. With 5 citations, his work is gaining traction among clinicians and health informaticians seeking scalable solutions for occupational lung disease surveillance. Gowda’s findings underscore a broader vision: integrating AI into routine clinical workflows to enhance diagnostic equity and efficiency. His research serves as a vital bridge between computational innovation and real-world public health needs, offering a roadmap for deploying AI in resource-limited settings where silicosis remains endemic.