Artificial Intelligence Medical Compendium

Osteoporosis is a disease characterized by decreased bone density and increased fracture risk. This study proposes a convolutional neural network (CNN) method for detecting changes in bone density using spectrograms or scalograms generated from ultra... read more 

The synchronization control problem of delayed inertial memristive neural networks (DIMNNs) with reaction-diffusion terms is addressed. First, by differential inclusions and a reduced-order approach to analyze the DIMNNs. Second, an adaptive pinning ... read more 

Methanol contamination in ethanol-based products poses a significant health risk due to its toxicity at low concentrations. This study developed a rapid, non-destructive method for detecting and quantifying methanol in alcoholic beverages using Raman... read more 

Regularization is essential in deep learning to enhance generalization and mitigate overfitting. However, conventional techniques often rely on heuristics, making them less reliable or effective across diverse settings. We propose Self Identity Mappi... read more 

Anesthesia is a cornerstone of modern surgical practice, enabling interventions by deliberately modulating nociception and consciousness-from localized analgesia and mild sedation to deep unconsciousness. Yet the molecular and cellular mechanisms tha... read more 

Images from different underwater domains exhibit multi-style variations caused by water quality, lighting, and imaging devices. The domain gap caused by these variations, combined with limited annotated data in target domains, leads to degraded objec... read more 

Proponents of artificial intelligence (AI) believe that it will revolutionise the modern world, affecting how healthcare is delivered and improve both the clinical care we provide and the ease with which we perform our work. In this paper we explain ... read more 

Determining the time since deposition (TSD) of bloodstains is critical for reconstructing events in forensic investigations. However, traditional methods often involve destructive techniques that compromise evidence integrity. This study demonstrates... read more 

BACKGROUND AND OBJECTIVE: Early diagnosis is critical for improving survival in renal cell carcinoma (RCC); yet, effective laboratory tests remain lacking. We aimed to characterise metabolic reprogramming in RCC and develop an artificial intelligence... read more 

How do brain regions specialized for number processing interact within broader neural systems to support learning to identify and apply numeric rules? Participants performed a number rule learning task in which they viewed sequences of three numbers ... read more