Artificial intelligence-assisted renal pathology: advances and prospects

Y Wang, Q Wen, L **, W Chen - Journal of Clinical Medicine, 2022 - mdpi.com
Digital imaging and advanced microscopy play a pivotal role in the diagnosis of kidney
diseases. In recent years, great achievements have been made in digital imaging, providing …

Dropconnect is effective in modeling uncertainty of bayesian deep networks

A Mobiny, P Yuan, SK Moulik, N Garg, CC Wu… - Scientific reports, 2021 - nature.com
Deep neural networks (DNNs) have achieved state-of-the-art performance in many
important domains, including medical diagnosis, security, and autonomous driving. In …

Diagnosis of diabetic kidney disease in whole slide images via AI-driven quantification of pathological indicators

X Liu, Y Wu, Y Chen, D Hui, J Zhang, F Hao… - Computers in Biology …, 2023 - Elsevier
Diagnosis of diabetic kidney disease (DKD) mainly relies on screening the morphological
variations and internal lesions of glomeruli from pathological kidney biopsy. The prominent …

Recent advances in the use of machine learning and artificial intelligence to improve diagnosis, predict flares, and enrich clinical trials in lupus

KM Kingsmore, PE Lipsky - Current Opinion in Rheumatology, 2022 - journals.lww.com
Recent advances in the use of machine learning and artificia... : Current Opinion in
Rheumatology Recent advances in the use of machine learning and artificial intelligence to …

Uncertainty-guided graph attention network for parapneumonic effusion diagnosis

J Hao, J Liu, E Pereira, R Liu, J Zhang, Y Zhang… - Medical Image …, 2022 - Elsevier
Parapneumonic effusion (PPE) is a common condition that causes death in patients
hospitalized with pneumonia. Rapid distinction of complicated PPE (CPPE) from …

Deep learning-based artificial intelligence system for automatic assessment of glomerular pathological findings in lupus nephritis

Z Zheng, X Zhang, J Ding, D Zhang, J Cui, X Fu, J Han… - Diagnostics, 2021 - mdpi.com
Accurate assessment of renal histopathology is crucial for the clinical management of
patients with lupus nephritis (LN). However, the current classification system has poor …

Robust motor imagery tasks classification approach using Bayesian neural network

D Milanés-Hermosilla, R Trujillo-Codorniú… - Sensors, 2023 - mdpi.com
The development of Brain–Computer Interfaces based on Motor Imagery (MI) tasks is a
relevant research topic worldwide. The design of accurate and reliable BCI systems remains …

Multi-threshold image segmentation using new strategies enhanced whale optimization for lupus nephritis pathological images

J Shi, Y Chen, C Wang, AA Heidari, L Liu, H Chen… - Displays, 2024 - Elsevier
Lupus Nephritis (LN) has been considered as the most prevalent form of systemic lupus
erythematosus. Medical imaging plays an important role in diagnosing and treating LN …

Systemic Lupus Erythematosus: How Machine Learning Can Help Distinguish between Infections and Flares

I Usategui, Y Arroyo, AM Torres, J Barbado, J Mateo - Bioengineering, 2024 - mdpi.com
Systemic Lupus Erythematosus (SLE) is a multifaceted autoimmune ailment that impacts
multiple bodily systems and manifests with varied clinical manifestations. Early detection is …

RETRACTED ARTICLE: MPCITL: design of an efficient multimodal engine for Pre-emptive identification of CKD via incremental transfer learning on clinical data …

R Mutha, ME Pawar, S Limkar, KS Wagh, SK Wagh… - Soft Computing, 2023 - Springer
Abstract Chronic Kidney Disease (CKD) can be identified via MRI (Magnetic Resonance
Imaging) Scans, CT (Computerized Tomography) Scans, and clinical parameters including …