Artificial Intelligence (Ai) Applications In Healthcare Services Environment: A Review Of Impact In Clinical Decision Making, Enhancing Healthcare Services, Challenges & Limitations

Abstract

Artificial intelligence (AI) refers to the simulation of human intelligence in machines designed to think and behave like humans. Artificial intelligence (AI) has contributed to the evolution of healthcare delivery by being integrated into clinical decision support systems, diagnostic imaging, personalized medicine, and operational management. This paper outlines the current developments in AI applications for healthcare, with a particular emphasis on clinical decision-making, machine learning, and analysis towards enhancing healthcare services. AI-driven systems excel at analysing high-dimensional clinical data, allowing for early disease identification, risk classification, and personalized treatment planning. The development of AI led this study to analyse AI impacts on clinical decision-making, emphasizing enhancements in operational efficiency and accuracy in diagnosis. Furthermore, the study has also addressed current challenges such as algorithmic bias, data privacy, and ethical governance. The study's future directions indicate the development of inclusive datasets and explainable artificial intelligence models to reduce inequities and enhance trust in AI-enabled healthcare systems.