ViTAL Lab

Computational BehaVior and HealTh AnaLytics (ViTAL) Lab strives to develop Patient-centered Artificial Intelligence (AI) systems that are Scalable, Accessible, and Ethical to effectively improve the Healthcare system. Our mission is to develop Edge Computing, Computer Vision, and Machine Learning systems using distributed ambient, mobile, and wearable devices to monitor patients’ conditions in hospitals or everyday life. We are also invested in deploying and testing the developed AI systems in real-world clinical and daily living environments, actively collaborating with stakeholders in healthcare.

News $\mathtt{\&}$ Talks $\mathtt{\&}$ Media

2025/12/02-2025/12/07	📖 Our paper on multi-site gait AI for Parkinson’s Disease (Care-PD) is accepted and presented at The Thirty-Ninth Annual Conference on Neural Information Processing Systems (Neurips 2025). This is an international collaboration project involving a large team from the University of Toronto, Vector Institute, KITE Research Institute-UHN, Delft University of Technology, CNRS-University of Strasbourg, UIUC, VinUniversity, Federal University of ABC, KU Leuven, Hasselt University, Emory, and the University of Bristol.
2025/11/15-2025/11/19	🎙 🌌 We attended Neuroscience 2025 hosted by Society of Neuroscience (SfN). We gave a talk at the AI/Machine Learning Press Conference on “Integrating Clinician Insights into Markerless Gait Analysis: Toward AI-Driven, Interpretable Gait Assessment”. Lauhitya Reddy also gave a poster presentation regarding the talk.
2025/11/15-2025/11/19	🎙 🌌 Lots of activities took place at the American Medical Informatics Association (AMIA) Annual Meeting 2025. Dr. Kwon served as a steering committee at Workgroup on Interactive Systems in Healthcare (WISH) and a session chair at S17: The Known Unknowns: Navigating Uncertainty in Clinical Machine Learning and S68: The Visual Frontier: Navigating Biomedical Knowledge Through Different Lenses. Dr. Kwon also gave a podium talk on “Quantifying Cognitive Decline and Balance in Older Adults with Mild Cognitive Impairment using Wearables in Clinical Environments” at S91: The Informatics Kaleidoscope: Diverse Models for Precision, Prediction, and Population Impact. We also presented three posters: “Accessible and Scalable Closed-loop Neuromotor Rehabilitation Using Mobile Computer Vision and Transcutaneous Vagus Nerve Stimulation” (by Joshua Posen), “Machine Learning of Remote Video Interviews for Quantification of Cognitive Impairment and Psychological Well-Being in Older Adults” (by Merna Bibara), and “On the Bias, Fairness and Bias Mitigation for a Wearable-based Freezing of Gait Detection in Parkinson’s Disease” (by Timothy Odonga; Recognized with Inclusive Language!).