Hidden muscle fat poses danger to heart and metabolism, deep learning model reveals

Using a deep learning model to analyze the composition of large muscles on MRI, German researchers found that the proportions ...
Hosted on MSN

Studies map AI's rapid rise in cardiovascular research

Recent systematic reviews and topic modeling studies reveal a surge in artificial intelligence applications across cardiovascular medicine, from diagnostics to prognostics. Deep learning dominates ...
The Lancet

Detection of young-onset type 2 diabetes using deep learning across primary and secondary care: a nationwide, retrospective cohort study

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...
IEEE

Unsupervised Deep Learning Network for Massive MIMO Signal Denoising

Abstract: We leveraged an unsupervised deep learning (DL) network for blind noise attenuation in a massive multi-input multi-output (MIMO) system without prior knowledge or labeled data. Initially, ...
IEEE

PID: A Parameter-Efficient Isolation Domain-Incremental Learning Framework for Signal Modulation Classification

Abstract: Deep neural networks have achieved promising progress in signal modulation classification (SMC), playing an essential role in a variety of applications such as cognitive radio networks, ...
GitHub

What is Deep Learning?

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 ...
Scientific Research Publishing

UWB NLOS Signal Recognition Based on Deep Learning ()

Ultra-wide band (UWB) positioning technology has attracted increasing attention due to its high ranging accuracy. However, in indoor environments, non-line-of-sight (NLOS) signals significantly ...
Frontiers

Editorial: Deep learning for high-dimensional sense, non-linear signal processing and intelligent diagnosis, vol II

Psychiatry stands at a pivotal turning point shaped by rapid technological advances and pressing clinical demands (1). Mental health disorders, defined by multifaceted etiologies and heterogeneous ...
Frontiers

Advanced EEG signal classification for neural prosthetic devices using metaheuristic and deep learning techniques

For neural prosthetic devices, accurate classification of high dimensional electroencephalography (EEG) signals is significantly impaired by the existence of redundant and irrelevant features that ...
Science Daily

AI finds a hidden stress signal inside routine CT scans

Researchers used a deep learning AI model to uncover the first imaging-based biomarker of chronic stress by measuring adrenal gland volume on routine CT scans. This new metric, the Adrenal Volume ...
Live Science

Satellites detected strange gravity signal coming from deep within Earth almost 20 years ago, study reveals

Researchers have discovered there was an anomaly in Earth's gravitational field between 2006 and 2008, potentially caused by a mineral shift deep within Earth's mantle. GRACE satellites detected a ...