Artificial Intelligence Medical Compendium

BACKGROUND AND OBJECTIVE: Accurate estimation of brain age is essential to identify deviations from typical aging trajectories, which may signal early neurodegenerative, psychiatric, or cognitive dysfunctions. Traditional models often rely on global ... read more 

The high medicinal value, strong market demand, and premium price of Panax notoginseng have led to frequent adulteration in Chinese retail markets, posing serious risks to consumer health and food safety. However, existing adulteration detection meth... read more 

In precision medicine, digital twins-virtual models of patients created using personalized data and advanced machine learning-are potentially changing healthcare by predicting health outcomes and guiding medical decisions. However, their use raises c... read more 

PURPOSE: To synthesise the paradigm shift towards precision medicine in orthopaedics, where individual anatomical, biomechanical, molecular and kinematic characteristics are integrated into clinical decision-making. Unlike traditional approaches appl... read more 

The developability of antibodies is a critical concern in antibody discovery, encompassing issues such as self-interaction, aggregation, and thermal stability. The use of computational and structure-based tools has greatly improved the evaluation and... read more 

OBJECTIVES: Novice dentists or those at the onset of their professional careers require assistance in diagnosing cases that necessitate fillings or root canal treatments. In this study, we propose an innovative recommendation system based on deep lea... read more 

OBJECTIVES: To validate an artificial intelligence (AI) method for fully automated detection and alignment of focal liver lesions (FLLs) in multi-sequence dynamic contrast-enhanced MRI (DCE-MRI). MATERIALS AND METHODS: Retrospective patient data from... read more 

OBJECTIVES: To evaluate the diagnostic accuracy of artificial intelligence-assisted opportunistic chest CT for osteoporosis/osteopenia screening in a Chinese population. METHODS: This retrospective study included 1306 adults (≥ 55 years) undergoing c... read more 

Objectives. The mining sector is a hazardous work environment with high accident rates, causing human suffering and financial losses. Examining incident reports is crucial for preventing comparable events; however, manual classification of large acci... read more 

OBJECTIVES: To assess treatment response in osteosarcoma, two automated convolutional neural networks (CNNs) were developed to quantify tumour volumes and predict response to induction chemotherapy using histopathology as the reference standard. MATE... read more