ARTIFICIAL INTELLIGENCE IN CARDIAC NURSING

Author Name: Mr. Akshay Gardner

Volume: 03/02

Country: India

DOI NO.: 11.2023-61555522 DOI Link: https://doi-ds.org/doilink/02.2026-81514466/GIJNR

Affiliation:

1. Nursing Tutor, MLB paramedical Govt college, Jhansi (UP)

ABSTRACT

Artificial Intelligence (AI) is rapidly transforming healthcare, especially in cardiology and cardiac nursing. AI technologies from machine learning (ML) and deep learning to generative AI and predictive analytics offer significant potential to enhance patient assessment, improve diagnostic accuracy, automate routine tasks, support clinical decision-making, and optimize care workflows. In cardiac nursing, this translates into improved patient outcomes, reduced workload, better risk stratification, and advanced monitoring systems. This article explores the current state, benefits, challenges, ethical considerations, implementation strategies, case studies, future directions, and ongoing research in the integration of AI in cardiac nursing.

Key words: Artificial Intelligence (AI); Machine Learning; Deep Learning; Predictive Analytics; Cardiac Nursing; Clinical Decision Support.