3 citations · 4 across the 4 of their papers we have counts for
4 papers
Clinical knowledge in LLMs does not translate to human interactions
Andrew M. Bean, Rebecca Payne, Guy Parsons +8
Global healthcare providers are exploring use of large language models (LLMs) to provide medical advice to the public. LLMs now achieve nearly perfect scores on medical licensing e…
wav2sleep: A Unified Multi-Modal Approach to Sleep Stage Classification from Physiological Signals
Jonathan F. Carter, Lionel Tarassenko
Accurate classification of sleep stages from less obtrusive sensor measurements such as the electrocardiogram (ECG) or photoplethysmogram (PPG) could enable important applications…
SleepVST: Sleep Staging from Near-Infrared Video Signals using Pre-Trained Transformers
Jonathan F. Carter, João Jorge, Oliver Gibson +1
Advances in camera-based physiological monitoring have enabled the robust, non-contact measurement of respiration and the cardiac pulse, which are known to be indicative of the sle…
Deep Learning-Enabled Sleep Staging From Vital Signs and Activity Measured Using a Near-Infrared Video Camera
Jonathan Carter, João Jorge, Bindia Venugopal +2
Conventional sleep monitoring is time-consuming, expensive and uncomfortable, requiring a large number of contact sensors to be attached to the patient. Video data is commonly reco…