Latest AI and machine learning research in work force for healthcare professionals.
Large Multimodal Models (LMMs) have emerged as powerful models capable of understanding various da...
Image captioning tasks usually use two-stage training to complete model optimization. The first st...
Bayesian Neural Networks (BNNs) provide a promising framework for modeling predictive uncertainty ...
Medical education faces challenges in scalability, accessibility, and consistency, particularly in...
Pain is a complex, multidimensional experience involving significant challenges in both diagnosis an...
The advent of Large Language Models (LLMs) offers potential solutions to address problems such as ...
Tuberculosis (TB) is a infectious global health challenge. Chest X-rays are a standard method for ...
Recent advancements in AI and medical imaging offer transformative potential in emergency head CT ...
Face recognition (FR) stands as one of the most crucial applications in computer vision. The accur...
In order to realize the quantitative assessment of muscle strength in hand function rehabilitation a...
Due to its irregular shape and varying contour, pancreas segmentation is a recognized challenge in m...
Personal AI assistants (e.g., Apple Intelligence, Meta AI) offer proactive recommendations that si...
This study addresses the challenge of reconstructing unseen ECG signals from PPG signals, a critic...
Linker generation is critical in drug discovery applications such as lead optimization and PROTAC ...
Data diversity is crucial for the instruction tuning of large language models. Existing studies ha...
Traffic signs recognition (TSR) plays an essential role in assistant driving and intelligent trans...
This paper analyzes the scientific production on the COVID-19 effect in the area of Information Sc...
The Fourth Industrial Revolution (4IR) technologies, such as cloud computing, machine learning, an...
In the era of Large Language Models (LLMs), embodied artificial intelligence presents transformati...
Large language models (LLMs) require immense resources for training and inference. Quantization, a...
The co-design of robot morphology and neural control typically requires using reinforcement learni...