Latest AI and machine learning research in devices and vaccines for healthcare professionals.
Machine learning in high-stakes domains such as healthcare requires not only strong predictive perfo...
Protecting sensitive visual content from unauthorized redistribution is a growing challenge for priv...
Deep learning has markedly advanced image based plant disease diagnosis as improved hardware and dat...
Image-to-video (I2V) generation has the potential for societal harm because it enables the unauthori...
Background: Limited data utilization in low-resource settings poses a barrier to the vaccine deliver...
Organisations with limited data and computational resources increasingly outsource model training to...
Eye tracking (ET) plays a critical role in augmented and virtual reality applications. However, rapi...
General aviation fault diagnosis and efficient maintenance are critical to flight safety; however, d...
Neonates requiring intensive care are at increased risk for long-term neuropsychiatric disorders. Ho...
Diffusion models have made significant progress in both text-to-image (T2I) generation and text-guid...
Diabetes mellitus affects over 537 million adults worldwide. Insulin-dependent patients require cont...
Safety-critical domains like healthcare rely on deep neural networks (DNNs) for prediction, yet DNNs...
BackgroundWell-child visits (WCVs) are essential for preventive care, yet missed appointments often ...
This paper introduces a neural network model that learns multiple attributes as images and performs ...
Auto-regressive (AR) models have recently made notable progress in image generation, achieving perfo...
Messenger RNA (mRNA) vaccines offer promising therapeutics for combating various diseases, yet their...
With the widespread deployment of deep-learning-based speech models in security-critical application...
Objective: To evaluate a ranking approach for emergency department (ED) waiting room prioritization ...
We present KidsNanny, a two-stage multimodal content moderation architecture for child safety. Stage...
Background Placental dysfunction remains a leading cause of stillbirth and neonatal morbidity, yet c...
Promptable Foundation Models (FMs), initially introduced for natural image segmentation, have also r...