output
20162024
most citedThe Future of Intelligent Healthcare: A Systematic Analysis and Discussion on the Integration and Impact of Robots Using Large Language Models for Healthcare

32 citations

6 papers

cs.RO202432 cited

The Future of Intelligent Healthcare: A Systematic Analysis and Discussion on the Integration and Impact of Robots Using Large Language Models for Healthcare

Souren Pashangpour, Goldie Nejat

The potential use of large language models (LLMs) in healthcare robotics can help address the significant demand put on healthcare systems around the world with respect to an aging…

cs.CV202314 cited

Domain-Specific Deep Learning Feature Extractor for Diabetic Foot Ulcer Detection

Reza Basiri, Milos R. Popovic, Shehroz S. Khan

Diabetic Foot Ulcer (DFU) is a condition requiring constant monitoring and evaluations for treatment. DFU patient population is on the rise and will soon outpace the available heal…

cs.CV20213 cited

Unobtrusive Pain Monitoring in Older Adults with Dementia using Pairwise and Contrastive Training

Siavash Rezaei, Abhishek Moturu, Shun Zhao +3

Although pain is frequent in old age, older adults are often undertreated for pain. This is especially the case for long-term care residents with moderate to severe dementia who ca…

astro-ph.GA20207 cited

Discovery of a Low-Redshift Damped Ly System in a Foreground Extended Disk Using a Starburst Galaxy Background Illuminator

Christopher M. Dupuis, Sanchayeeta Borthakur, Mansi Padave +3

We present the discovery of a low-redshift damped Ly (DLA) system in the spectrum of background starburst galaxy SDSS J111323.88+293039.3 (). The DLA is at an impact…

cs.RO2019

aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive Challenge

Keenan Burnett, Sepehr Samavi, Steven L. Waslander +2

The University of Toronto is one of eight teams competing in the SAE AutoDrive Challenge -- a competition to develop a self-driving car by 2020. After placing first at the Year 1 c…

cs.CV2016

Video Analysis of "YouTube Funnies" to Aid the Study of Human Gait and Falls - Preliminary Results and Proof of Concept

Babak Taati, Pranay Lohia, Avril Mansfield +1

Because falls are funny, YouTube and other video sharing sites contain a large repository of real-life falls. We propose extracting gait and balance information from these videos t…