Results 141 to 150 of about 10,369,018 (353)
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
Fabian Isensee +4 more
semanticscholar +1 more source
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah +7 more
wiley +1 more source
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein +7 more
wiley +1 more source
Ultra-high-performance concrete (UHPC) has garnered significant attention in the construction industry owing to its superior mechanical performance and aesthetic qualities.
Tran-Hung Cuong +5 more
doaj +1 more source
End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study
Xiaofeng Jiang +18 more
openalex +1 more source
Conquering the Cobb Angle: A Deep Learning Algorithm for Automated, Hardware-Invariant Measurement of Cobb Angle on Radiographs in Patients with Scoliosis [PDF]
Abhinav Suri +13 more
openalex +1 more source
Hospital Readmission After Traumatic Brain Injury Hospitalization in Community‐Dwelling Older Adults
ABSTRACT Objective To examine the risk of hospital readmission after an index hospitalization for TBI in older adults. Methods Using data from the Atherosclerosis Risk in Communities (ARIC) study, we used propensity score matching of individuals with an index TBI‐related hospitalization to individuals with (1) non‐TBI hospitalizations (primary analysis)
Rachel Thomas +7 more
wiley +1 more source
Lessons Learned From a Delayed‐Start Trial of Modafinil for Freezing of Gait in Parkinson's Disease
ABSTRACT Objective Freezing of gait (FOG) in people with Parkinson's disease (PwPD) is debilitating and has limited treatments. Modafinil modulates beta/gamma band activity in the pedunculopontine nucleus (PPN), like PPN deep brain stimulation. We therefore tested the hypothesis that Modafinil would improve FOG in PwPD.
Tuhin Virmani +8 more
wiley +1 more source
Sensory-memory interactions via modular structure explain errors in visual working memory
Errors in stimulus estimation reveal how stimulus representation changes during cognitive processes. Repulsive bias and minimum variance observed near cardinal axes are well-known error patterns typically associated with visual orientation perception ...
Jun Yang, Hanqi Zhang, Sukbin Lim
doaj +1 more source

