Victoria Vought
Papers
1
Total Citations
2
H-Index
1
About
Dr. Victoria Vought is a rising researcher at the intersection of artificial intelligence and ophthalmology, with a focus on deploying deep learning to combat preventable blindness. Her most cited work, "Future direction for the deployment of deep learning artificial intelligence: Vision threatening disease detection in underserved communities during COVID-19," proposes a comprehensive framework for using DLAI to detect vision-threatening diseases in populations with limited access to care. This research addresses a critical gap: leveraging AI to enable early detection and subspecialty referral, thereby preserving vision and quality of life in underserved communities. With 2 citations and growing recognition, Dr. Vought’s work is gaining traction as a pragmatic solution to healthcare disparities amplified by the COVID-19 pandemic. Her contributions highlight the potential of AI to democratize access to sight-saving diagnostics, making her a notable voice in the field of digital health equity. For students and researchers, her work exemplifies how technology can be harnessed for social impact, bridging the gap between cutting-edge AI and real-world clinical needs.
Research Focus
Key Achievements
Top Papers
- 1