[HTML][HTML] Artificial intelligence and its impact on the domains of universal health coverage, health emergencies and health promotion: An overview of systematic reviews

A Martinez-Millana, A Saez-Saez… - International Journal of …, 2022 - Elsevier
Background Artificial intelligence is fueling a new revolution in medicine and in the
healthcare sector. Despite the growing evidence on the benefits of artificial intelligence there …

Cardiovascular risk prediction in chronic kidney disease

X Li, B Lindholm - American Journal of Nephrology, 2023 - karger.com
Background: As one of the main complications of chronic kidney disease (CKD), the
incidence of cardiovascular disease (CVD) in CKD patients is high. CVD risk is markedly …

[HTML][HTML] Systematic metareview of prediction studies demonstrates stable trends in bias and low PROBAST inter-rater agreement

LFS Langenhuijsen, RJ Janse, E Venema… - Journal of Clinical …, 2023 - Elsevier
Objectives To (1) explore trends of risk of bias (ROB) in prediction research over time
following key methodological publications, using the Prediction model Risk Of Bias …

Artificial intelligence in peritoneal dialysis: general overview

Q Bai, W Tang - Renal Failure, 2022 - Taylor & Francis
Objective This article is a general overview about artificial intelligence/machine learning
(AI/ML) algorithms in the domain of peritoneal dialysis (PD). Methods We searched studies …

Optimizing dialysis water treatment based on medical planning requirements

GGN Geweid, MA Abdallah, V Minakova… - Expert Systems with …, 2024 - Elsevier
This paper introduces a new approach to improving hemodialysis and peritoneal dialysis
processes. This maintains compatibility between the water treatment unit and active dialysis …

[HTML][HTML] A Klotho-Based Machine Learning Model for Prediction of both Kidney and Cardiovascular Outcomes in Chronic Kidney Disease

Y Wang, Y Shi, T Xiao, X Bi, Q Huo, S Wang, J Xiong… - Kidney …, 2024 - karger.com
Introduction: This study aimed to develop and validate machine learning (ML) models based
on serum Klotho for predicting end-stage kidney disease (ESKD) and cardiovascular …

The Power of Predictive Analytics: Forecasting Crime Trends in High-Risk Areas for Crime Prevention using Machine Learning

IS Saini, N Kaur - 2023 14th International Conference on …, 2023 - ieeexplore.ieee.org
The main objective of this study is to employ artificial intelligence (AI) and machine learning
(ML) techniques to analyze a large crime dataset. The aim is to propose a predictive model …

Causal factors of cardiovascular disease in end-stage renal disease with maintenance hemodialysis: a longitudinal and Mendelian randomization study

D Tian, Y Xu, Y Wang, X Zhu, C Huang… - Frontiers in …, 2024 - frontiersin.org
Background The risk factors of cardiovascular disease (CVD) in end-stage renal disease
(ESRD) with hemodialysis remain not fully understood. In this study, we developed and …

One heartbeat away from a prediction model for cardiovascular diseases in patients with chronic kidney disease: a systematic review

L Smit, ML Bots, J van der Leeuw, JAAG Damen… - Cardiorenal …, 2023 - karger.com
Introduction: Patients with chronic kidney disease (CKD) have a high risk of cardiovascular
disease (CVD). Prediction models, combining clinical and laboratory characteristics, are …

[PDF][PDF] Ocular disease recognition

IM Tugui, A Iftene - Proceedings of Symposium on Logic and …, 2022 - researchgate.net
Ocular Diseases can cause irreversible vision loss. There are a few symptoms that appear
as soon as needed, and a clear diagnostic made early can save someone's eye sight. That's …