Artificial Intelligence Medical Compendium

BACKGROUND: Non-specific low back pain (LBP) is a heterogeneous condition. Therefore, it is important to investigate whether clinically feasible assessments can identify diverse movement patterns in individuals with LBP. PURPOSE: To identify distinct... read more 

Acoustic holograms offer precise three-dimensional control of sound fields with immense potential for non-invasive therapies and contactless manipulation. However, conventional phase-only design methods suffer from a fundamental performance gap betwe... read more 

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