Results 211 to 220 of about 31,003,301 (345)
Multimodal Deep Learning Approaches for Lung Disease Detection: A Review. [PDF]
Estay Zamorano B +7 more
europepmc +1 more source
Interstitial lung disease (ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRDs). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the noninvasive assessment of ILD; however, its interpretation is constrained by substantial interobserver variability and the ...
Alexander Pfeil +7 more
wiley +1 more source
Comparison of classic statistical methods and machine learning approaches to classify readiness. [PDF]
Copenhaver AE, Puglisi C, Eslami MA.
europepmc +1 more source
Automated Hand Flexor Tendon–Thickness Measurement in Systemic Sclerosis
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasonography and measured manually, a time‐consuming process prone to interobserver variability.
Mark Greveling +4 more
wiley +1 more source
Molecular Adaptations of Thermophilic Proteins-From Mechanistic Understanding to Machine Learning Approaches. [PDF]
Arunachalam S, Mm B, Gnanasekaran R.
europepmc +1 more source
Objective Reproductive‐age women with systemic autoimmune and rheumatic diseases (SARDs) have unique information needs related to their SARDs and reproductive health. We sought to understand their use of and receptivity to current and hypothetical generative artificial intelligence (AI) tools for health information‐seeking. Methods We conducted a cross‐
Mariam Arif +5 more
wiley +1 more source
Correction to "Evaluating Molecular Complexity with Open-Source Machine Learning Approaches to Predict Process Mass Intensity". [PDF]
Tin N +6 more
europepmc +1 more source
Patients improve, patterns persist: longitudinal stability of RA joint involvement patterns
Objective Rheumatoid arthritis is a heterogeneous disease. Data‐driven approaches, from synovial histology to joint involvement patterns (JIPs), have sought to define clinically meaningful subgroups. Whether these subgroups represent stable phenotypes or transient disease states remains unclear.
Tjardo Maarseveen +24 more
wiley +1 more source
A Review of Experiential Learning Approaches for Teaching Prelicensure Research. [PDF]
Wood KA, Hartley PW, Stelling-Risom S.
europepmc +1 more source
Objective High body mass index (BMI≥27 kg/m2) and aberrant gait biomechanics are primary risk factors for knee osteoarthritis (KOA), yet the specific loading patterns linked to clinical disease features remain unclear. Unsupervised machine learning (ML) was used to identify vertical ground reaction force (vGRF) waveform modes of variation and ...
Ashley N. Buck +10 more
wiley +1 more source

