Latest AI and machine learning research in clinical trials for healthcare professionals.
Knee rehabilitation therapy after trauma or neuromotor diseases is fundamental to restore the joint ...
This systematic review evaluated the current status of AI-assisted colonoscopy to identify histologi...
Reconstructing transient states presents significant challenges, particularly within complex pipe ne...
Causal machine learning (ML) offers flexible, data-driven methods for predicting treatment outcomes ...
Socially assistive robots (SARs) have been suggested as a platform for post-stroke training. It is n...
Diffusion magnetic resonance imaging is an important tool for mapping tissue microstructure and stru...
AIM: Treatment of periodontitis, a chronic inflammatory disease driven by biofilm dysbiosis, remains...
The existing methodologies for allocating highway safety improvement funding closely rely on the uti...
Endoscopy is the primary modality for detecting asymptomatic esophageal squamous cell carcinoma (ESC...
PURPOSE: To explore diagnostic deep learning for optimizing the prostate MRI protocol by assessing t...
Cancer of unknown primary (CUP) site poses diagnostic challenges due to its elusive nature. Many cas...
BACKGROUND: Early detection of adverse events and their management are crucial to improving anticanc...
Governments use policy interventions to mitigate food safety risks. Despite its crucial role, empiri...
Human factors are a primary cause of vehicle accidents. Driver monitoring systems, utilizing a range...
BACKGROUND AND AIM: (AM) is a traditional Chinese herb. Our previous study revealed that AM can enh...
Large language models (LLMs) hold immense potential to revolutionize radiology. However, their integ...
OBJECTIVES: Depression and loneliness are challenges facing older residents living in long-term care...
The advent of artificial intelligence (AI) technologies has taken the world of science by storm in 2...
Landslide susceptibility mapping is essential for reducing the risk of landslides and ensuring the s...
Recently, Physics-Informed Neural Networks (PINNs) have gained significant attention for their versa...
The role of artificial intelligence (AI) in pathology offers many exciting new possibilities for imp...