To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...

The need for reliable, scalable systems to monitor and safe-guard wildlife has been highlighted by the rapid decline in biodiversity. Conventional ecological surveys are frequently time-consuming, ...

A multimodal deep learning framework trained on paired CT and MRI data demonstrated improved diagnostic accuracy when classifying patients with Alzheimer disease, mild cognitive impairment, or normal ...

Val Kilmer died in 2025, but fans might still get to see him in 'As Deep as the Grave' using AI technology. Here's what the film director said about the opportunity. “He was the actor I wanted to play ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

Abstract: Deep learning can be used for audio signal classification in a variety of ways. It can be used to detect and classify various types of audio signals such as speech, music, and environmental ...

This study aimed to develop a hybrid deep learning model for classifying multiple fundus diseases using ultra-widefield (UWF) images, thereby improving diagnostic efficiency and accuracy while ...

Accurate and automated fruit classification plays a vital role in modern agriculture but remains challenging due to the wide variability in fruit appearances. In this study, we propose a novel ...