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Found 5 papers, 1 papers with code
An AI-driven multimodal smart home platform for continuous monitoring and intelligent assistance in post-stroke patients
Here, we present a multimodal smart home platform designed for continuous, at-home rehabilitation of post-stroke patients, integrating wearable sensing, ambient monitoring, and adaptive automation.
Wearable intelligent throat enables natural speech in stroke patients with dysarthria
Wearable silent speech systems hold significant potential for restoring communication in patients with speech impairments.
A deep learning-enabled smart garment for accurate and versatile sleep conditions monitoring in daily life
In wearable smart systems, continuous monitoring and accurate classification of different sleep-related conditions are critical for enhancing sleep quality and preventing sleep-related chronic conditions.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
+3
Deep Learning-Based Longitudinal Prediction of Childhood Myopia Progression Using Fundus Image Sequences and Baseline Refraction Data
In this study, we introduce a novel, high-accuracy method for quantitatively predicting the myopic trajectory and myopia risk in children using only fundus images and baseline refraction data.
DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning
Waveform physiological data is important in the treatment of critically ill patients in the intensive care unit.
