Results 131 to 140 of about 9,689 (262)
Neural Tracking of Speech Acoustics in Noise Is Coupled with Lexical Predictability as Estimated by Large Language Models. [PDF]
Iverson P, Song J.
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We detect the risk factors and image characteristics of incidentally detected IAAD. Independent risk factors of IAAD included fatty liver and smoking. In the ultrasound findings of IAAD, an intimal flap was frequently observed. In the CT scan, displacement of intimal calcifications was frequently observed. For suspected IAAD, the abdominal aorta should
Hiromasa Tsubouchi +15 more
wiley +1 more source
Accessory Cavitated Uterine Malformation (ACUM): A Case Series
Accessory cavitated uterine malformation (ACUM) can be misdiagnosed as other uterine pathologies, such as mullerian anomalies, adenomyosis or fibroids. Imaging, particularly gynecological ultrasound plays a fundamental role in identifying this condition.
Luis Felipe Aravena +8 more
wiley +1 more source
Digital remote assessment of speech acoustics in cognitively unimpaired adults: feasibility, reliability and associations with amyloid pathology. [PDF]
van den Berg RL +17 more
europepmc +1 more source
In children with presumptive tuberculosis, comprehensive point‐of‐care (cPOCUS) identified key thoracic abnormalities with high specificity and excellent inter‐reader reliability. Although diagnostic sensitivity was modest and examinations often incomplete, cPOCUS shows promise as a complementary, radiation‐free imaging tool.
Isabelle Munyangaju +17 more
wiley +1 more source
Shear wave elastography demonstrated moderate diagnostic accuracy for detecting congestive liver disease in patients with structural heart disease. Increased liver stiffness was associated with echocardiographic markers of venous congestion, supporting the concept that elastography may serve as a noninvasive marker of cardiohepatic interaction ...
Edinéia Camargo Dziadzio +4 more
wiley +1 more source
STHANet: Spatiotemporal Hybrid Attention Network for auditory attention decoding
STHANet integrates depth‐wise spatial filtering, log–variance temporal characterization, and transformer‐based spatiotemporal fusion to model global EEG interactions for direct AAD. Abstract Auditory attention decoding (AAD) aims to detect the target speaker from electroencephalography (EEG) signals in multi‐talker environments.
Xu Han, Hongxing Liu, Guangjian Ni
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Techniques in Speech Acoustics
Jonathan Harrington, Steve Cassidy
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Impact of severe periodontitis and diabetes mellitus on recurrent cardiovascular outcomes
Abstract Background This post hoc analysis of the Periodontitis and Coronary Heart Disease study (ClinicalTrials.gov Identifier: NCT01045070) aimed to determine the association between diabetes and recurrent cardiovascular events (CVEs) in patients with cardiovascular disease (CVD) and severe periodontitis.
Stefan Reichert +3 more
wiley +1 more source
ABSTRACT Artificial Intelligence is rapidly transforming allergology by enhancing diagnosis, risk prediction, automation, patient communication, education, and therapy development. Machine learning approaches, including convolutional neural networks, recurrent architectures, and transformer‐based models, enable analysis of complex datasets from ...
Sebastian Seurig +2 more
wiley +1 more source

