Artificial Intelligence Medical Compendium

This study evaluated the applicability of combining Demirjian's method with machine learning algorithms to estimate the chronological age of children and adolescents from southeastern Brazil, using dental development stages as predictive variables. A... read more 

Study DesignCross-Sectional.ObjectivesAdult spinal deformity (ASD) affects 68% of the elderly, with surgical intervention carrying complication rates of up to 50%. Effective patient education is essential for managing expectations, yet high patient v... read more 

Lung cancer is a prevalent and lethal malignancy characterised by the uncontrolled growth of abnormal cells in lung tissues, often leading to functional impairment and metastasis. With approximately 2 million new cases and 1.8 million deaths annually... read more 

Collecting a large amount of measured configuration data for robots entails high costs and time, which restricts the widespread use of neural networks for robot error prediction and compensation. In this study, a "transfer network" is established by ... read more 

In medical image segmentation, convolutional neural networks (CNNs) and transformers are dominant. For CNNs, given the local receptive fields of convolutional layers, long-range spatial correlations are captured through consecutive convolutions and p... read more 

Emerging virtual reality (VR) applications bring significant challenges to spherical image compression. Spherical images are first converted into planar images using projections like the equirectangular projection (ERP) to facilitate compression. Met... read more 

Stereopsis has widespread appeal in computer vision and robotics as it is the predominant way by which we perceive depth to navigate our 3D world. Event cameras are novel bio-inspired sensors that detect per-pixel brightness changes asynchronously, w... read more 

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The rapid advancement of generative artificial intelligence (AI) has enabled machines to produce creative outputs, such as artworks, that rival human creations. However, despite these technological achievements, public acceptance and valuation of AI-... read more 

This study presents FCRNet, a Fast Fourier Convolution Residual Network, tailored for fault diagnosis of mine ventilation bearings under complex operating conditions. By integrating residual learning with Fast Fourier Convolution (FFC), FCRNet employ... read more