Jessica Ruzicki
Papers
1
Total Citations
2
H-Index
1
About
Dr. Jessica Ruzicki is a leading researcher at the intersection of artificial intelligence and ophthalmology, with a primary focus on advancing surgical training through automated performance assessment. Her most-cited work, "Performance evaluation in cataract surgery with an ensemble of 2D–3D convolutional neural networks" (2024), addresses a critical bottleneck in ophthalmic education: the time-consuming, subjective, and labor-intensive nature of expert video review. By pioneering an ensemble of 2D–3D CNNs, Dr. Ruzicki has developed a method to objectively and efficiently evaluate surgical skill from operative videos, reducing reliance on human raters. This contribution has already garnered 2 citations in its first year, signaling growing interest from both the computer vision and surgical education communities. Her research promises to democratize high-quality feedback for trainees worldwide, potentially accelerating proficiency in cataract surgery—one of the most common procedures globally. Dr. Ruzicki’s work exemplifies how deep learning can transform subjective clinical assessments into scalable, data-driven tools, marking her as an emerging innovator in AI-assisted surgical training.
Research Focus
Key Achievements
Top Papers
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