Clinical applications of artificial intelligence—an updated overview
Artificial intelligence has the potential to revolutionize modern society in all its aspects.
Encouraged by the variety and vast amount of data that can be gathered from patients (eg …
Encouraged by the variety and vast amount of data that can be gathered from patients (eg …
KDIGO 2021 clinical practice guideline for the management of glomerular diseases
BH Rovin, SG Adler, J Barratt, F Bridoux… - Kidney …, 2021 - kidney-international.org
Glomerular disease, be it primary or secondary, occurring in the setting of systemic
autoimmune diseases, infections, drugs, or malignancy, affects individuals of all ages. In …
autoimmune diseases, infections, drugs, or malignancy, affects individuals of all ages. In …
Machine learning algorithms' accuracy in predicting kidney disease progression: a systematic review and meta-analysis
N Lei, X Zhang, M Wei, B Lao, X Xu, M Zhang… - BMC Medical Informatics …, 2022 - Springer
Background Kidney disease progression rates vary among patients. Rapid and accurate
prediction of kidney disease outcomes is crucial for disease management. In recent years …
prediction of kidney disease outcomes is crucial for disease management. In recent years …
Machine learning explainability in nasopharyngeal cancer survival using LIME and SHAP
Nasopharyngeal cancer (NPC) has a unique histopathology compared with other head and
neck cancers. Individual NPC patients may attain different outcomes. This study aims to …
neck cancers. Individual NPC patients may attain different outcomes. This study aims to …
[HTML][HTML] Application of the International IgA Nephropathy Prediction Tool one or two years post-biopsy
SJ Barbour, R Coppo, H Zhang, ZH Liu, Y Suzuki… - Kidney international, 2022 - Elsevier
The International IgA Nephropathy (IgAN) Prediction Tool is the preferred method in the
2021 KDIGO guidelines to predict, at the time of kidney biopsy, the risk of a 50% drop in …
2021 KDIGO guidelines to predict, at the time of kidney biopsy, the risk of a 50% drop in …
A prognostic predictive system based on deep learning for locoregionally advanced nasopharyngeal carcinoma
M Qiang, C Li, Y Sun, Y Sun, L Ke, C **e… - JNCI: Journal of the …, 2021 - academic.oup.com
Background Images from magnetic resonance imaging (MRI) are crucial unstructured data
for prognostic evaluation in nasopharyngeal carcinoma (NPC). We developed and validated …
for prognostic evaluation in nasopharyngeal carcinoma (NPC). We developed and validated …
Promises of big data and artificial intelligence in nephrology and transplantation
Kidney diseases form part of the major health burdens experienced all over the world.
Kidney diseases are linked to high economic burden, deaths, and morbidity rates. The great …
Kidney diseases are linked to high economic burden, deaths, and morbidity rates. The great …
[HTML][HTML] Glomerular disease classification and lesion identification by machine learning
CK Yang, CY Lee, HS Wang, SC Huang, PI Liang… - biomedical …, 2022 - Elsevier
Background Classification of glomerular diseases and identification of glomerular lesions
require careful morphological examination by experienced nephropathologists, which is …
require careful morphological examination by experienced nephropathologists, which is …
[HTML][HTML] Role of artificial intelligence in kidney disease
Q Yuan, H Zhang, T Deng, S Tang, X Yuan… - … Journal of Medical …, 2020 - ncbi.nlm.nih.gov
Artificial intelligence (AI), as an advanced science technology, has been widely used in
medical fields to promote medical development, mainly applied to early detections, disease …
medical fields to promote medical development, mainly applied to early detections, disease …
Machine learning for prediction and risk stratification of lupus nephritis renal flare
Y Chen, S Huang, T Chen, D Liang, J Yang… - American Journal of …, 2021 - karger.com
Background: Renal flare of lupus nephritis (LN) is strongly associated with poor kidney
outcomes, and predicting renal flare and stratifying its risk are important for clinical decision …
outcomes, and predicting renal flare and stratifying its risk are important for clinical decision …