Results 91 to 100 of about 1,005,453 (288)

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig, Nadav Amir, Maya Schiller, Roni Loebenstein, Johnatan Nissan, Marina Boxer, Shany Guly Gofrit, Gal Goshen, Sándor Beniczky, Nicola Maggio   +9 more
wiley   +1 more source

TrajRL-TFF: A Trajectory Representation Learning Method Based on Time-domain and Frequency-domain Feature Fusion

Computational Urban Science
Trajectory representation learning transforms raw trajectory data (sequences of spatiotemporal points) into low-dimensional representation vectors to improve downstream tasks such as trajectory similarity computation, prediction, and classification ...
Kang Liu, Zhiying Lin, Kemin Zhu, Ling Yin, Jianze Zheng, Yongheng Feng, Shaohua Wang, Yan Zhang   +7 more
doaj   +1 more source

MTFSC: A Self-Supervised Transferable Representation Learning Algorithm for Diagnosing Cross-Machine Faults in Rotating Machinery

Algorithms
Rotating machinery is a key component in modern industry, and its operating condition directly affects equipment safety and production reliability. However, discrepancies among different machines cause source–target distribution shifts, while fault ...
Yuan Xu, Enyong Xu, Yingnan Gao, Zhenzhen Jin   +3 more
doaj   +1 more source

Metabolic and Microvascular Risk Factors Associated With Brain Health in Type 1 Diabetes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT We examined relationships between metabolic factors, microvascular complications, and brain health in adults with type 1 diabetes. Fifty‐one adults were assessed for metabolic risk factors, microvascular complications, and cognitive function, with a subset completing brain MRI.
Jihyun Park, Emily J. Koubek, Richard Beare, Lynn Ang, Brian C. Callaghan, Rodica Pop‐Busui, Eva L. Feldman, Evan L. Reynolds   +7 more
wiley   +1 more source

A Semi-Supervised Approach Combining Image and Frequency Enhancement for Echocardiography Segmentation

IEEE Access
Segmentation of internal structures in echocardiography enables quantitative measurements of the cardiac size, shape, and function, thereby facilitating automated diagnosis and treatment planning.
Jiajun Ding, Xiaoxiang Han
doaj   +1 more source

Evaluation of Digital Technologies for Home‐Based Assessment in People With Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller, Vanessa Vallejo, Mónica Povedano Panadés, Orla Hardiman, Véronique Danel‐Brunaud, Senda Ajroud‐Driss, Philippe Couratier, Jeremy Shefner, Anna Gokey, Mike DiCesare, Erin Lennox, Jens Praestgaard, Lucie Brujin, Peggy Allred, Ram Miller   +14 more
wiley   +1 more source

Research on Frequency-Domain Learning-Based Fault Diagnosis Methods in Nuclear Power Plants via a Lightweight Complex-Valued Neural Network

Energies
Nuclear power plant (NPP) fault diagnosis is critical to ensure the safe, stable and economic operation of nuclear facilities. Existing deep learning-based NPP fault diagnosis methods primarily extract features from the temporal and spatial domain. Given
Zijian Wu, Zhe Dong, Xiaojin Huang
doaj   +1 more source

White Matter Microstructural Abnormalities in Neonatal Onset Genetic Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Recent evidence indicates that epilepsy is associated with abnormal white matter. If seizures alter white matter, then the impact upon network function, epileptogenesis, and cognition could be pronounced in neonates undergoing rapid developmental myelination. Neonates with epilepsy due to nonstructural genetic causes provide a unique
Amanda G. Sandoval Karamian, Tianjia Zhu, Hao Huang, Shavonne L. Massey, Mark P. Fitzgerald, Darshana Parikh, Arastoo Vossough, Ingo Helbig, Nicholas S. Abend   +8 more
wiley   +1 more source

Cognitive and Neuroimaging Divergence Between Juvenile and Adult FUS Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder characterized by progressive motor neuron degeneration. Fused in sarcoma (FUS)‐associated juvenile ALS (jALS) represents a distinct and aggressive subgroup with rapid deterioration and poor prognosis.
Alexandra V. Jürs, Marcel Naumann, Annaliis Lehto, Hanna Schön, Jens Kurth, Johannes Prudlo, Andreas Hermann, Elisabeth Kasper   +7 more
wiley   +1 more source

Cross-domain few-shot hyperspectral image classification with frequency-aware augmentation

European Journal of Remote Sensing
Cross-domain few-shot hyperspectral image classification remains challenging due to limited labeled samples and domain shifts between source and target domains.
Xiaojiang Jiang, Hui Zhang, Yapeng Wang
doaj   +1 more source