Abstract: Accurate and efficient brain tumor diagnosis remains a critical challenge in medical imaging. This study proposes a novel framework that integrates fuzzy logic-based segmentation with deep ...
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 ...
EULAR – The European Alliance of Associations for Rheumatology – is actively integrating artificial intelligence (AI) into its guidelines and research, recognising the potential to enhance diagnosis, ...
The University of Wyoming hosted its first Community College Summer Institute, a five-day program that taught students with a ...
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 ...
An artificial intelligence (AI) system that combines breast cancer tissue images with molecular marker data achieves high ...
Mental and neurological disorders, including Alzheimer’s disease, Parkinson’s disease, depression, and schizophrenia, represent a growing global health ...
Pediatric oncology is rapidly advancing through precision therapeutics, biomarker-informed trials, and adaptive treatment strategies designed to improve ...
WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company") is a leading global Hologram Augmented Reality ("AR") Technology provider. A quantum deep convolutional neural network technology ...
The team built a DenseNet – a densely connected convolutional neural network – that learns hierarchical features directly ...
The study, titled Artificial Intelligence Methods for Unmanned Aerial Vehicles Cybersecurity: A Comprehensive Survey and ...
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