Machine learning for acute kidney injury: Changing the traditional disease prediction mode
X Yu, Y Ji, M Huang, Z Feng - Frontiers in Medicine, 2023 - frontiersin.org
Acute kidney injury (AKI) is a serious clinical comorbidity with clear short-term and long-term
prognostic implications for inpatients. The diversity of risk factors for AKI has been …
prognostic implications for inpatients. The diversity of risk factors for AKI has been …
The Present and Future of Artificial Intelligence in Urological Cancer
X Liu, J Shi, Z Li, Y Huang, Z Zhang… - Journal of Clinical …, 2023 - mdpi.com
Artificial intelligence has drawn more and more attention for both research and application in
the field of medicine. It has considerable potential for urological cancer detection, therapy …
the field of medicine. It has considerable potential for urological cancer detection, therapy …
Development of artificial neural networks for early prediction of intestinal perforation in preterm infants
Intestinal perforation (IP) in preterm infants is a life-threatening condition that may result in
serious complications and increased mortality. Early Prediction of IP in infants is important …
serious complications and increased mortality. Early Prediction of IP in infants is important …
Explainable preoperative automated machine learning prediction model for cardiac surgery-associated acute kidney injury
C Thongprayoon, P Pattharanitima, AG Kattah… - Journal of clinical …, 2022 - mdpi.com
Background: We aimed to develop and validate an automated machine learning (autoML)
prediction model for cardiac surgery-associated acute kidney injury (CSA-AKI). Methods …
prediction model for cardiac surgery-associated acute kidney injury (CSA-AKI). Methods …
Decisions are not all equal—Introducing a utility metric based on case-wise raters' perceptions
Abstract Background and Objective Evaluation of AI-based decision support systems (AI-
DSS) is of critical importance in practical applications, nonetheless common evaluation …
DSS) is of critical importance in practical applications, nonetheless common evaluation …
American college of surgeons NSQIP risk calculator accuracy using a machine learning algorithm compared with regression
Y Liu, CY Ko, BL Hall, ME Cohen - Journal of the American …, 2023 - journals.lww.com
BACKGROUND: The American College of Surgeons NSQIP risk calculator (RC) uses
regression to make predictions for fourteen 30-day surgical outcomes. While this approach …
regression to make predictions for fourteen 30-day surgical outcomes. While this approach …
Preoperative Age and Its Impact on Long-Term Renal Functional Decline after Robotic-Assisted Partial Nephrectomy: Insights from a Tertiary Referral Center
Background and Objectives: to investigate the impact of age on renal function deterioration
after robotic-assisted partial nephrectomy (RAPN) focusing on a decline to moderate and …
after robotic-assisted partial nephrectomy (RAPN) focusing on a decline to moderate and …
Using machine learning to predict lymph node metastasis in patients with renal cell carcinoma: a population-based study
Y Zhang, X Yi, Z Tang, P Xie, N Yin, Q Deng… - Frontiers in Public …, 2023 - frontiersin.org
Background Lymph node (LN) metastasis is strongly associated with distant metastasis of
renal cell carcinoma (RCC) and indicates an adverse prognosis. Accurate LN-status …
renal cell carcinoma (RCC) and indicates an adverse prognosis. Accurate LN-status …
[HTML][HTML] Personalized Prediction of Long-Term Renal Function Prognosis Following Nephrectomy Using Interpretable Machine Learning Algorithms: Case-Control …
L Xu, C Li, S Gao, L Zhao, C Guan, X Shen… - JMIR Medical …, 2024 - medinform.jmir.org
Background: Acute kidney injury (AKI) is a common adverse outcome following
nephrectomy. The progression from AKI to acute kidney disease (AKD) and subsequently to …
nephrectomy. The progression from AKI to acute kidney disease (AKD) and subsequently to …
Pathways to chronic disease detection and prediction: Mapping the potential of machine learning to the pathophysiological processes while navigating ethical …
E Afrifa‐Yamoah, E Adua… - Chronic Diseases …, 2024 - Wiley Online Library
Chronic diseases such as heart disease, cancer, and diabetes are leading drivers of
mortality worldwide, underscoring the need for improved efforts around early detection and …
mortality worldwide, underscoring the need for improved efforts around early detection and …