Artificial Intelligence Medical Compendium

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by amyloid-β plaques and tau neurofibrillary tangles, with tau pathology being closely linked to cognitive decline. Growing evidence suggests that metabolic dysfunctio... read more 

BACKGROUND: Adolescent major depressive disorder (MDD) has become a growing public health concern, with rising prevalence over the past decade and significant impacts on social, academic, and occupational functioning. However, diagnosing adolescent M... read more 

BACKGROUND: Epilepsy affects approximately 70 million people worldwide, with a third of them being drug-resistant and requiring surgical intervention. Accurate localization of the seizure onset zone (SOZ) is crucial for effective surgery but remains ... read more 

Rapid prediction of reservoir vertical thermal structure is crucial for implementation flexible reservoir optimization strategies aimed at ecological protection. Data-driven models can efficiently forecast water temperature dynamics but have limitati... read more 

In computer-aided diagnosis, the extreme imbalance in disease incidence rates often results in the omission of rare conditions, leading to out-of-distribution (OOD) samples during testing. To prevent unreliable diagnostic outputs, detecting these OOD... read more 

Recent advances in nano-sciences including colloids, interfaces as well as material science in general, are increasingly driven by artificial intelligence (AI), which combines theory, computation, experiment, data acquisition and analysis, and implem... read more 

Class-incremental learning (CIL) aims to learn new classes while retaining previous knowledge. Although pre-trained model (PTM) based approaches show strong performance, directly fine-tuning PTMs on incremental task streams often causes renewed catas... read more 

Continual learning enables artificial neural networks to learn new tasks without forgetting previously learned tasks, which is a key challenge in mimicking human intelligence. Dynamic architecture strategies are therefore employed to expand the capac... read more 

Person re-identification (ReID) using text or sketch as descriptive query has made great efforts in practical application. Existing multi-modal ReID methods usually map features from different modalities into a common space to learn cross-modal align... read more 

BACKGROUND: Coronary heart disease (CHD) remains a leading global cause of death. Early identification of high-risk individuals and timely intervention are crucial. This study developed and evaluated a predictive CHD risk model using machine learning... read more