Artificial Intelligence Medical Compendium

PURPOSE: (i) To assess whether 129Xe apparent diffusion coefficient (ADC) and diffusive length scale (LmD) metrics are quantitatively preserved with deep learning (DL) accelerated acquisition and reconstruction and (ii) to evaluate the feasibility of... read more 

High-frequency ultrasound (HFUS) is valuable for assessing skin lesions, supporting diagnosis, treatment monitoring, and surgical planning. This study evaluates deep learning models for binary classification of HFUS images acquired in B-mode and Dopp... read more 

BACKGROUND: The integration of artificial intelligence (AI), virtual reality (VR) and haptic technologies is revolutionising dental education, offering transformative opportunities to enhance skill acquisition, ergonomic awareness and student well-be... read more 

INTRODUCTION: Accurate prediction of unerupted teeth widths significantly contributes to formulating optimal treatment plan during mixed dentition phase. The ability of artificial intelligence to identify hidden patterns and both linear and non-linea... read more 

OBJECTIVES: To evaluate whether generative artificial intelligence (Gen-AI) could significantly enhance the visibility of the mandibular canal (MC) and the periodontal ligament (PL) of mandibular third molars (M3Ms) on low-dose cone-beam computed tom... read more 

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Network medicine applies fundamental principles of complexity science and systems medicine to integrate and analyze complex structured data, including genomics, transcriptomics, proteomics, and metabolomics, to characterize the dynamical states of he... read more 

BACKGROUND: Accurate monitoring of the depth of anaesthesia is essential for patient safety. Although processed electroencephalogram monitoring is widely used, it is not always available. This study aimed to predict episodes of inadequate anaesthesia... read more 

Macromolecules, such as proteins, antibodies, nanobodies, and other affinity binders, play essential roles in therapeutic and diagnostic applications due to their high specificity and functionality. Understanding their structure is critical for decip... read more 

BACKGROUND: Septic shock is associated with high mortality, making accurate risk stratification crucial for tailored treatment. Traditional clinical scoring systems are limited by static assessments and suboptimal accuracy. Artificial intelligence (A... read more