ArtIficial intelligence
for Vision Science
Welcome to the AI4VS LAB!
The Artificial Intelligence for Vision Science (AI4VS) Laboratory is led by Professor Kaveri Thakoor and is located at the Columbia University Irving Medical Center (CUIMC).
The goal of the AI4VS Lab is to develop human-vision-inspired AI to automate the analysis of biomedical images to augment and work in tandem with the abilities of medical experts to expedite the detection of eye diseases, such as glaucoma, age-related macular degeneration, and beyond.
Research FOCUS AREAS
ROBUST
We develop AI that is robust to data collected at multiple locations. See some of our projects which achieve accurate glaucoma and AMD detection from multiple locations or using multiple imaging modalities such as OCT and OCTA.
INTERPRETABLE
We develop AI in such a way that the mechanisms behind its decision-making can be understood by clinicians. See some of our projects using expert eye tracking and statistical odds ratio analysis to corroborate AI mechanisms.
PORTABLE
We develop AI systems which perform accurately even on data collected with low-cost, portable imaging systems. See our proof-of-concept work which aims to enable a broader population to gain access to sight-saving technology.
News & Updates
Opportunities to get involved
If you are a current student in a degree program at Columbia, please see how to join us for open positions. If you are seeking a postdoctoral position in the group, please send Dr. Thakoor an email including your interests and CV. If you are interested in joining the group as a PhD student, please send Dr. Thakoor an email including your interests, CV, and transcript.
News
09/2024: Our lab’s work has been featured by Columbia DSI - thanks to all of you - great job AI4VS Lab!!
09/2024: Two papers accepted for presentation at the IEEE Biomedical and Health Informatics conference in Texas in November - congratulations Tom Le and Kuang Sun for our paper on “Predicting Ophthalmologist Gaze Patterns on OCT Data with Masked Autoencoders and Long Short-Term Memory Networks” and Shubham Kaushal, Roshan Kenia and Saanvi Aima for our paper on “Medical-Expert Eye Movement Augmented Vision Transformers” !
09/2024: Congratulations Ye Tian, Anurag Sharma, Shubh Mehta, and Shubham Kaushal on our paper accepted to ARVO's TVST journal!
07/2024: Ye presented a poster, and Dr. Thakoor led a Minisymposium on "The Success and Future Promise of AI in Ophthalmology" at EMBC 2024!
05/2024: Sana, Sydney, and Ye presented their ARVO abstracts in Seattle, Washington!
04/2024: Michael, Ye, Roshan, and Saanvi's paper has been accepted in the Conference on Health, Inference, and Learning - heartiest congratulations to everyone!! The paper is now available online here.
02/2024: Congratulations to Mingyang, Pooja, and Britney for our paper accepted in IEEE OJEMB!
01/2024: Arnav Meduri named a Top 300 Scholar in this year's Regeneron Science Talent Search Competition - congratulations Arnav!