Artificial intelligence in chronic kidney disease management: a scoping review

Keyphrases

• Early Detection 100%
• Artificial Intelligence 100%
• Chronic Kidney Disease Management 100%
• Scoping Review 100%
• Chronic Kidney Disease 66%
• Risk Prediction 66%
• Treatment Recommendations 66%
• Patient Care 66%
• Risk Stratification 66%
• Patient Communication 66%
• Natural Language Processing 66%
• Process Language 66%
• Large Language Models 66%
• Integrating Artificial Intelligence 66%
• Public Health Risk 33%
• Cardiovascular Disease 33%
• Healthcare 33%
• Renal Failure 33%
• Healthcare Industry 33%
• Patient Safety 33%
• Clinical Care 33%
• Regulatory Approval 33%
• Legal Standards 33%
• Improved Patient Outcomes 33%
• Innovative Solutions 33%
• Unsupervised Clustering 33%
• Deep Learning Model 33%
• Data Access 33%
• Minimizing Risk 33%
• Model Accuracy 33%
• User Training 33%
• Artificial Intelligence Techniques 33%
• Detection Risk 33%
• Machine Learning Models 33%
• Access Model 33%
• Machine Learning Learning 33%
• Deep Machine Learning 33%
• Artificial Intelligence Models 33%
• Model Interpretability 33%
• Adoption Barriers 33%
• Digital Twin 33%
• Image-based Deep Learning 33%
• Data Quality Model 33%
• Healthcare Providers 33%
• Challenges Faced 33%
• Chronic Kidney Disease Patient 33%
• Workflow Integration 33%

Medicine and Dentistry

• Chronic Kidney Disease 100%
• Disease Management 100%
• Artificial Intelligence 100%
• Scoping Review 100%
• Patient Care 33%
• Risk Stratification 33%
• Language Processing 33%
• Cardiovascular Disease 16%
• Renal Failure 16%
• Public Health 16%
• Patient Safety 16%
• Diseases 16%
• Health Care Personnel 16%
• Unsupervised Learning 16%
• Digital Twin 16%
• Deep Learning Model 16%

Pharmacology, Toxicology and Pharmaceutical Science

• Chronic Kidney Failure 100%
• Kidney Failure 16%
• Cardiovascular Disease 16%
• Diseases 16%