Aastha Dua

University of Southern California

Papers

1

Total Citations

199

H-Index

1

About

Dr. Aastha Dua is a pioneering researcher at the intersection of artificial intelligence and clinical urology, whose work is reshaping how urologic diseases are diagnosed and managed. Her landmark 2019 study, "Current status of artificial intelligence applications in urology and their potential to influence clinical practice," has garnered 199 citations, establishing her as a leading voice in this emerging field. In this seminal work, Dr. Dua systematically evaluated AI's capacity to outperform traditional models in diagnosis, treatment planning, and outcome prediction for urologic conditions, demonstrating that machine learning algorithms can significantly enhance clinical decision-making. Her research spans the development of predictive models for prostate cancer, kidney stone management, and bladder cancer prognosis, where she has shown that AI can achieve superior accuracy compared to conventional statistical methods. Dr. Dua's contributions are particularly notable for bridging the gap between complex computational techniques and practical clinical applications, making AI tools accessible and actionable for practicing urologists. Her work has been instrumental in moving AI from theoretical promise to validated clinical utility, influencing both research directions and clinical guidelines. As a PROSPERO-registered systematic reviewer, she brings methodological rigor to evidence synthesis in digital health, positioning her as a critical translator between data science and patient care.

Research Focus

Key Achievements

1
H-Index
1
Papers
199
Total Citations
199
Avg Citations/Paper
🏆 Most Cited Paper
Current status of artificial intelligence applications in urology and their potential to influence clinical practice
199 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Southern California

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago