Artificial intelligence for diabetes care: current and future prospects

B Sheng, K Pushpanathan, Z Guan, QH Lim… - The Lancet Diabetes & …, 2024 - thelancet.com
Artificial intelligence (AI) use in diabetes care is increasingly being explored to personalise
care for people with diabetes and adapt treatments for complex presentations. However, the …

Diffusion Tensor and Kurtosis MRI‐Based Radiomics Analysis of Kidney Injury in Type 2 Diabetes

D Yang, C Tian, J Liu, Y Peng, Z Xiong… - Journal of Magnetic …, 2024 - Wiley Online Library
Background Diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) can provide
quantitative parameters that show promise for evaluation of diabetic kidney disease (DKD) …

Accurate classification of glomerular diseases by hyperspectral imaging and transformer

C Tian, Y Chen, Y Liu, X Wang, Q Lv, Y Li… - Computer Methods and …, 2024 - Elsevier
Background and objective In renal disease research, precise glomerular disease diagnosis
is crucial for treatment and prognosis. Currently reliant on invasive biopsies, this method …

ICD Codes are Insufficient to Create Datasets for Machine Learning: An Evaluation Using All of Us Data for Coccidioidomycosis and Myocardial Infarction

AE Whitlock, G Leroy, FM Donovan… - arXiv preprint arXiv …, 2024 - arxiv.org
In medicine, machine learning (ML) datasets are often built using the International
Classification of Diseases (ICD) codes. As new models are being developed, there is a need …

Validation of neuron activation patterns for deep learning models in oculomics

S An, D Squirrell - 2024 - researchsquare.com
Deep learning and artificial neural networks have been extensively applied to the automated
diagnosis of retinal diseases from fundus images. Recent advancements have also led …