A5056367146- Digital Mental Health Interventions
- Multimodal Machine Learning Applications
- AI in Service Interactions
- Bone health and osteoporosis research
- Hip disorders and treatments
- Medical Imaging Techniques and Applications
- Topic Modeling
- Medical Image Segmentation Techniques
- Advanced MRI Techniques and Applications
- Mobile Health and mHealth Applications
- Bone and Joint Diseases
- Advanced Text Analysis Techniques
Columbia University
2008-2025
This study presents a pilot randomized controlled trial to assess the usability, feasibility, and initial efficacy of mobile app-based relational artificial intelligence (AI) chatbot (Exerbot) intervention for increasing physical activity behavior. The was conducted over 1-week period, during which participants were either converse with baseline without capacity (control group) or using social communication strategies. Objectively measured data collected smartphone pedometers. feasible in...
Registration of 3D images acquired from different imaging modalities such as micro-magnetic resonance (µMRI) and micro-computed tomography (µCT) are interest in a number medical applications. Most general-purpose multimodality registration algorithms tend to be computationally intensive do not take advantage the shape volume. Multimodality trabecular bone (TB) cylindrical cores, for example, misaligned along around axial direction more than that other directions. Additionally, TB by µMRI can...