Optimizing Bi-LSTM networks for improved lung cancer detection accuracy. [PDF]
Diao S +8 more
europepmc +1 more source
Instrumental Validity of the Motion Detection Accuracy of a Smartphone-Based Training Game. [PDF]
Guggenberger B +4 more
europepmc +1 more source
Temporal Divergence of True and False Alarms in Pediatric Nocturnal Seizure Monitoring
The early‐morning surge in false seizure alarms supports exploring time‐ or state‐dependent detection thresholds to reduce false detections. ABSTRACT Seizure detection devices can improve the safety of children with epilepsy, yet high false alarms limit their clinical applicability.
Mohammad Shahbakhti +6 more
wiley +1 more source
Diagnostic efficacy, imaging characteristics, and detection accuracy of transabdominal superficial ultrasonography for various types of appendicitis. [PDF]
Yue YZ, Hu Q, Lu TX.
europepmc +1 more source
Improving immunoassay detection accuracy of anti-SARS-CoV-2 antibodies through dual modality validation. [PDF]
Ma Y +10 more
europepmc +1 more source
ABSTRACT Objective Autoimmune glial fibrillary acidic protein astrocytopathy (GFAP‐A) is an inflammatory central nervous system disorder with variable outcomes. Relapse occurs in a subset of patients, but early predictors remain unclear. We aimed to identify admission‐available features associated with 1‐year recurrence and develop an interpretable ...
Qingting Hong +10 more
wiley +1 more source
Balancing Energy Consumption and Detection Accuracy in Cardiovascular Disease Diagnosis: A Spiking Neural Network-Based Approach with ECG and PCG Signals. [PDF]
Ran G, Wang Y, Zhang H, Cheng J, Lai D.
europepmc +1 more source
Spectral filtering method for improvement of detection accuracy of Mg, Cu, Mn and Cr elements in aluminum alloys using femtosecond LIBS. [PDF]
Yao J +6 more
europepmc +1 more source
Objective The aim of this study was to evaluate the sensitivity of the 2023 American College of Rheumatology (ACR)/EULAR classification criteria for antiphospholipid syndrome (APS) in a real‐world cohort of women diagnosed with primary obstetric APS (oAPS) and to assess their ability to identify patients at risk of future pregnancy complications ...
Francesca Ruffilli +10 more
wiley +1 more source
Enhancing head and neck cancer detection accuracy in digitized whole-slide histology with the HNSC-classifier: a deep learning approach. [PDF]
Yu H +6 more
europepmc +1 more source

