Artificial Intelligence Medical Compendium

Accurately forecasting multivariate time series requires effectively capturing intricate temporal dependencies across diverse scales. Existing deep learning models, while promising, often fall short in this regard. Recurrent architectures like LSTMs ... read more 

A small Lipschitz constant can help improve robustness and generalization by restricting the sensitivity of the model to input perturbations. However, overly aggressive constraints may also limit the network's ability to approximate complex functions... read more 

Due to the capability to capture high-order information of nodes and reduce memory consumption, implicit graph neural networks have become an explored hotspot in recent years. However, these implicit graph neural networks are limited by the static to... read more 

Perinatology relies on continuous engagement with an expanding body of clinical literature, yet the volume and velocity of publications increasingly exceed the capacity of clinicians to keep pace. Generative artificial intelligence (GAI) tools - such... read more 

Colorectal cancer (CRC) is one of the leading gastrointestinal malignancies, underscoring the need for an in-depth analysis of the cellular within the tumor microenvironment. While pathological imaging remains the gold standard for cancer diagnosis, ... read more 

Chronic thromboembolic pulmonary hypertension (CTEPH) is a severe, life-threatening complication of pulmonary embolism with pulmonary hypertension (PH). The combination of insufficient resolution of thrombi following pulmonary emboli and accompanying... read more 

OBJECTIVES: Epilepsy is a chronic neurological disorder characterized by recurrent seizures due to abnormal brain activity, which affects individuals' health and quality of life. Traditional seizure detection methods face challenges related to data p... read more 

The application of artificial intelligence (AI) in medical imaging has revolutionized diagnostic practices, enabling advanced analysis and interpretation of radiological data. This study presents a comprehensive evaluation of radiomics-based and deep... read more 

Accurate ischemic stroke lesion segmentation is useful to define the optimal reperfusion treatment and unveil the stroke etiology. Despite the importance of diffusion-weighted MRI (DWI) for stroke diagnosis, learning from multi-sequence MRI images li... read more 

Over the past 20 years, endothelial keratoplasty procedures have revolutionized the treatment of corneal endothelial disorders. These conditions have now become the leading indication for corneal transplantation in Western countries and account for h... read more