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
| 2025/09/16 | 📖 Our paper on mobile computer vision systems for quantifying gait impairment is published in Plos Digital Health! |
| 2025/09/03 | 🏆 We received a pilot award from Shriners Hospital for Children’s! We will be developing a smartphone-based AI system for accessible and scalable gait screening for children with Cerebral Palsy. We will continue to innovate AI for children’s health living in low-resourced communities! |
| 2025/08/15 | 🎉 Lauhitya Reddy’s abstract, “Integrating Clinician Insights into Markerless Gait Analysis: Toward AI-Driven, Interpretable Gait Assessment”, is accepted to present in a press conference on AI/Machine Learning at the Society for Neuroscience (SfN). Out of over 10,000 abstracts submitted to the meeting, fewer than 50 are being offered this prestigious opportunity of speaking directly to the media. Congratulations! What a start to your PhD journey! |
Acknowledgments
Our previous and current sponsors or collaborators include:
