A new multi-direction DWI sequence, the latest Swoop® system software, and the first advancement in Hyperfine’s Optive AI™ software, delivers clearer, higher-quality images for stroke diagnosis, ...

When using SFTTrainer with large datasets that require long preprocessing times (over 30 minutes), the training process consistently fails due to a PyTorch ...

The American Clinical Neurophysiology Society updated its guidelines on continuous EEG monitoring last year, providing support for the use of the technology in neonates at high risk for seizures.

The EEG system in use for a neonatal patient. [Image courtesy of CeriBell] CeriBell (Nasdaq:CBLL) announced today that it received FDA 510(k) clearance for its next-generation Clarity algorithm. The ...

Researchers in the ScopeX Lab and the Yao Group are harnessing the power of the photon for accelerated AI modeling and novel infrared detection, respectively. The ScopeX Lab works at the intersection ...

While artificial intelligence (AI)-powered screening has been validated for diabetic retinopathy, applying the technology to glaucoma has proved more challenging because glaucoma is not one disease. A ...

Today’s popular chatbots and image generators have a severe downside for the environment. These examples of generative artificial intelligence leave a substantial carbon footprint due to outsized ...

In structural health monitoring (SHM), uncertainties from environmental noise and modeling errors affect damage detection accuracy. This paper introduces a new concept: the Fast Fourier Transform ...

ABSTRACT: Purpose: The purpose of this study is to develop a scalable, risk-aware artificial intelligence (AI) framework capable of detecting financial fraud in high-throughput digital transaction ...

HANGZHOU, China, June 26, 2025 /PRNewswire/ -- EZVIZ, a global leader in smart home technology, has announced the international rollout of its self-developed wild animal detection algorithm, marking a ...

Falls pose a significant public health concern, leading to numerous injuries and fatalities annually. Most existing fall detection methods often rely on supervised learning, necessitating extensive ...