Enhancing Nephrology Decision Support with Artificial Intelligence and Numerical Algorithms

Abstract

Artificial Intelligence (AI) technology paired with numerical algorithms has brought a transformative shift to clinical decision support systems (CDSS) operations in nephrology. This work investigates how AI alongside machine learning algorithms enhances kidney disease decision support systems while boosting diagnostic precision and planning treatments alongside improving patient outcomes. Medical professionals use artificial intelligence across deep learning and natural language processing and predictive analytics systems to analyse large clinical datasets which enhances their decision speed and precision. Several implementation obstacles such as data privacy concerns along with algorithmic biases and workflow integration problems require ongoing solutions. Analysis of these challenges is followed by a discussion of AI's potential beneficial applications in nephrology together with recommended deployment methods for AI-powered CDSS systems in clinical practice.