A survey on medical explainable AI (XAI): recent progress, explainability approach, human interaction and scoring system
RK Sheu, MS Pardeshi - Sensors, 2022 - mdpi.com
The emerging field of eXplainable AI (XAI) in the medical domain is considered to be of
utmost importance. Meanwhile, incorporating explanations in the medical domain with …
utmost importance. Meanwhile, incorporating explanations in the medical domain with …
Effectiveness of artificial intelligence (AI) in clinical decision support systems and care delivery
This review aims to assess the effectiveness of AI-driven CDSSs on patient outcomes and
clinical practices. A comprehensive search was conducted across PubMed, MEDLINE, and …
clinical practices. A comprehensive search was conducted across PubMed, MEDLINE, and …
Continuous and early prediction of future moderate and severe Acute Kidney Injury in critically ill patients: development and multi-centric, multi-national external …
Background Acute Kidney Injury (AKI) is a major complication in patients admitted to
Intensive Care Units (ICU), causing both clinical and economic burden on the healthcare …
Intensive Care Units (ICU), causing both clinical and economic burden on the healthcare …
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 …
Machine learning for acute kidney injury prediction in the intensive care unit
Machine learning is the field of artificial intelligence in which computers are trained to make
predictions or to identify patterns in data through complex mathematical algorithms. It has …
predictions or to identify patterns in data through complex mathematical algorithms. It has …
Artificial intelligence ECG analysis in patients with short QT syndrome to predict life-threatening arrhythmic events
Short QT syndrome (SQTS) is an inherited cardiac ion-channel disease related to an
increased risk of sudden cardiac death (SCD) in young and otherwise healthy individuals …
increased risk of sudden cardiac death (SCD) in young and otherwise healthy individuals …
Role of endoplasmic reticulum stress and autophagy in the transition from acute kidney injury to chronic kidney disease
Acute kidney injury (AKI) and chronic kidney disease (CKD) are global health concerns with
increasing rates in morbidity and mortality. Transition from AKI‐to‐CKD is common and …
increasing rates in morbidity and mortality. Transition from AKI‐to‐CKD is common and …
External validation of a deep-learning model to predict severe acute kidney injury based on urine output changes in critically ill patients
Objectives The purpose of this study was to externally validate algorithms (previously
developed and trained in two United States populations) aimed at early detection of severe …
developed and trained in two United States populations) aimed at early detection of severe …
A deep learning–based dynamic model for predicting acute kidney injury risk severity in postoperative patients
Background Acute kidney injury is a common postoperative complication affecting between
10% and 30% of surgical patients. Acute kidney injury is associated with increased resource …
10% and 30% of surgical patients. Acute kidney injury is associated with increased resource …
Machine-learning model for predicting oliguria in critically ill patients
Y Yamao, T Oami, J Yamabe, N Takahashi… - Scientific Reports, 2024 - nature.com
This retrospective cohort study aimed to develop and evaluate a machine-learning algorithm
for predicting oliguria, a sign of acute kidney injury (AKI). To this end, electronic health …
for predicting oliguria, a sign of acute kidney injury (AKI). To this end, electronic health …