Results 151 to 160 of about 157,751 (260)

A Conceptual Model for Embedding Automated Assessments in Graduate Medical Education. [PDF]

J Grad Med Educ
Dick L, Tallentire VR.
europepmc   +1 more source

Beyond Visual Scoring: Computational CT‐analysis for HRCT based quantification of Interstitial Lung Disease in Inflammatory Rheumatic Disease

Arthritis Care &Research, Accepted Article.
Interstitial lung disease (IRD‐ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRD). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the non‐invasive assessment of ILD; however, its interpretation is constrained by substantial inter‐observer variability and ...
Alexander Pfeil, Tobias Hoffmann, Ulf Teichgräber, Diane Renz, Denise Beckmann, Gunter Wolf, Nicole Schadewaldt, Bianca Lassen‐Schmidt   +7 more
wiley   +1 more source

Comparing manual vs. automated machine learning and deep learning models for predicting one-year mortality in elderly hip fracture patients. [PDF]

Front Med (Lausanne)
Shuchami A, Glebov M, Katsin M, Portnoy Y, Berkenstadt H, Orkin D, Lazebnik T.   +6 more
europepmc   +1 more source

Clinical characteristics and concordance of anti‐MDA5 autoantibodies: A multicentre Australian study

Arthritis Care &Research, Accepted Article.
Objectives In Australia, anti‐MDA5 antibodies are exclusively tested by line immunoblot assay (LIA). The clinical concordance of a LIA‐positive anti‐MDA5 result is unclear. We aimed to describe the clinical features and determine the clinical concordance of patients with anti‐MDA5 antibodies.
Syed B Ali, Thomas Khoo, Keeran Shivakumar, Adam Caroll, Lauren Hender, Dimitra Beroukas, Kim Griggs, Celina Jin, Theo De Malmanche, Jessica Day, Gabor Major, Vidya Limaye   +11 more
wiley   +1 more source

Deep learning accurately and reliably segments pelvic vascular structure in CT scans of gynecologic cancer patients. [PDF]

Front Oncol
Kim H, Jeong MJ, Koo KY, Choi YJ, Heo ES, Nam W, Kang S, Lee UY, Kim YS, Lee KH, Park CU.   +10 more
europepmc   +1 more source

Automated Hand Flexor Tendon Thickness Measurement in Systemic Sclerosis

Arthritis Care &Research, Accepted Article.
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasound and measured manually, a time‐consuming process prone to inter‐observer variability.
Mark Greveling, Ties van het Erve, Yvette van de Berg, Simon Mastbergen, Julia Spierings   +4 more
wiley   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga   +2 more
wiley   +1 more source

Importance of the Quality of Annotation: Impact of Simulated Inter-Observer Variability on Deep Neural Network Automated Segmentation Model Performance. [PDF]

Bioengineering (Basel)
LaBella D, Kop M, Qi X, Stecko H, Turkbey B, Scanlon H, Sanford T.   +6 more
europepmc   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Lightweight deep learning framework for intracranial hemorrhage detection in brain CT scans. [PDF]

Front Med (Lausanne)
Hussain S, Jan S, Aldhayan M, Khan MAU, Kamal S, Jameel A, Alkhateeb JH, Zraqou J.   +7 more
europepmc   +1 more source