AIMC Topic: Potassium

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Acute Intraoperative Hyperkalemia During Robot-Assisted Radical Cystectomy: A Case Report.

A&A practice Dec 21, 2022
A 50-year-old man with muscle-invasive bladder cancer was scheduled for a robotic radical cystectomy. Four hours into the surgery, his electrocardiogram showed rhythm disturbances. Arterial blood gas analysis showed a serum potassium concentration of...
Hyperkalemia Male Middle Aged Robotics Robotic Surgical Procedures Potassium Cystectomy Humans
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Multi-Branch-CNN: Classification of ion channel interacting peptides using multi-branch convolutional neural network.

Computers in biology and medicine Jun 8, 2022
Ligand peptides that have high affinity for ion channels are critical for regulating ion flux across the plasma membrane. These peptides are now being considered as potential drug candidates for many diseases, such as cardiovascular disease and cance...
Neural Networks, Computer Sodium Ion Channels Peptides Potassium
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Rapid prototyping of ion-selective electrodes using a low-cost 3D printed internet-of-things (IoT) controlled robot.

Talanta May 16, 2022
We report automated fabrication of solid-contact sodium-selective (Na-ISEs) and potassium-selective electrodes (K-ISEs) using a 3D printed liquid handling robot controlled with Internet of Things (IoT) technology. The printing system is affordable an...
Robotics Potassium Electrodes Printing, Three-Dimensional Potentiometry Ion-Selective Electrodes Ions Sodium Internet of Things
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Clinical Score and Machine Learning-Based Model to Predict Diagnosis of Primary Aldosteronism in Arterial Hypertension.

Hypertension (Dallas, Tex. : 1979) Sep 7, 2021
[Figure: see text].
Probability Adult Male Middle Aged Hypertension Hyperaldosteronism Potassium Humans Machine Learning Female
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Using artificial neural network in determining postharvest LIFE of kiwifruit.

Journal of the science of food and agriculture Jul 18, 2019
BACKGROUND: Artificial intelligence systems have been employed for the development of predictive models that estimate many agricultural processes.
Potassium Calcium Fruit Actinidia Neural Networks, Computer Magnesium Nitrogen
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Quantitative Assessment of the Physiological Parameters Influencing QT Interval Response to Medication: Application of Computational Intelligence Tools.

Computational and mathematical methods in medicine Jan 4, 2018
Human heart electrophysiology is complex biological phenomenon, which is indirectly assessed by the measured ECG signal. ECG trace is further analyzed to derive interpretable surrogates including QT interval, QRS complex, PR interval, and T wave morp...
Electrophysiology Terfenadine Arrhythmias, Cardiac Electrocardiography Clinical Trials as Topic Ions Action Potentials Cell Membrane Sodium Anti-Arrhythmia Agents Models, Statistical Calcium Risk Programming Languages Regression Analysis Myocytes, Cardiac Heart Observer Variation Potassium Software Humans Algorithms Artificial Intelligence Reproducibility of Results
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Point-of-Care Potassium Measurement vs Artificial Intelligence-Enabled Electrocardiography for Hyperkalemia Detection.

American journal of critical care : an official publication, American Association of Critical-Care Nurses Jan 1, 2025
BACKGROUND: Hyperkalemia can be detected by point-of-care (POC) blood testing and by artificial intelligence- enabled electrocardiography (ECG). These 2 methods of detecting hyperkalemia have not been compared.
Retrospective Studies Female Aged Humans Artificial Intelligence Electrocardiography Potassium Hyperkalemia Male Point-of-Care Systems Middle Aged
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Avoidable Serum Potassium Testing in the Cardiac ICU: Development and Testing of a Machine-Learning Model.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Apr 1, 2021
OBJECTIVES: To create a machine-learning model identifying potentially avoidable blood draws for serum potassium among pediatric patients following cardiac surgery.
Potassium Boston Humans Machine Learning Retrospective Studies Intensive Care Units Child
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Detection of Falsely Elevated Point-of-Care Potassium Results Due to Hemolysis Using Predictive Analytics.

American journal of clinical pathology Jul 7, 2020
OBJECTIVES: Preanalytical factors, such as hemolysis, affect many components of a test panel. Machine learning can be used to recognize these patterns, alerting clinicians and laboratories to potentially erroneous results. In particular, machine lear...
Humans Machine Learning Hematologic Tests Potassium False Positive Reactions Hemolysis Point-of-Care Systems Point-of-Care Testing
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