Artificial intelligence and machine learning in peritoneal dialysis: a systematic review of clinical outcomes and predictive modeling.

Journal: International urology and nephrology
PMID:

Abstract

BACKGROUND: The integration of artificial intelligence (AI) and machine learning (ML) in peritoneal dialysis (PD) presents transformative opportunities for optimizing treatment outcomes and informing clinical decision-making. This study aims to provide a comprehensive overview of the applications of AI/ML techniques in PD, focusing on their potential to predict clinical outcomes and enhance patient care.

Authors

  • Muhammad Muaz Mushtaq
    King Edward Medical University, Mayo Hospital, KEMU Boys Hostel, Link Mcleod Road, Lahore, Pakistan.
  • Maham Mushtaq
    King Edward Medical University, Mayo Hospital, KEMU Boys Hostel, Link Mcleod Road, Lahore, Pakistan.
  • Husnain Ali
    King Edward Medical University, Mayo Hospital, KEMU Boys Hostel, Link Mcleod Road, Lahore, Pakistan.
  • Muhammad Asad Sarwar
    King Edward Medical University, Mayo Hospital, KEMU Boys Hostel, Link Mcleod Road, Lahore, Pakistan.
  • Syed Faqeer Hussain Bokhari
    King Edward Medical University, Mayo Hospital, KEMU Boys Hostel, Link Mcleod Road, Lahore, Pakistan. drfhbokhari512@gmail.com.