In retinal disease screenings, artificial intelligence can help deliver diagnoses earlier, giving physicians more time to preserve vision.

AI-powered document processing automates data extraction, classification, and validation with 95-99% accuracyMarket projected ...

Abstract: As computer vision and AI technologies advance at an accelerated pace, image processing has permeated critical domains like healthcare diagnostics, surveillance systems, and autonomous ...

ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...

Abstract: With the rapid development of computer vision technology, image classification algorithm based on deep learning has become a hot research and application field. At present, the mainstream ...

The tremendous growth of deep learning models, especially the success of generative AI and foundation models, has led to their deployment in several critical sectors, including biometric recognition, ...

This Research Topic gathers different contributions highlighting novel types of bio-inspired mathematical models with neuroimaging and physio-signal data, mainly applied in medical and industrial ...