Journal of Nephrology & Therapeutics

Department of Nephrology, University of Calgary, Calgary, Canada

Publications

• Mini Review   
  Artificial Intelligence and Machine Learning Applications in Predicting Renal Impairment Progression
  Author(s): Sarah Jones*
  
  Renal impairment, including chronic kidney disease, represents a significant global health challenge with a growing prevalence. Timely and accurate prediction of renal impairment progression is crucial for effective patient management, resource allocation, and the development of personalized treatment plans. In recent years, artificial intelligence and machine learning have emerged as powerful tools for enhancing our ability to predict and manage renal impairment progression. This research article explores the applications of AI and ML in predicting renal impairment progression, discusses their benefits, challenges, and the future outlook for this transformative field... Read More»
  DOI: 10.37421/2161-0959.2023.13.462

  Abstract HTML PDF