Automated decision support systems for healthcare: An AI-powered approach

Nune, Bhanuvardhan (2025) Automated decision support systems for healthcare: An AI-powered approach. World Journal of Advanced Engineering Technology and Sciences, 16 (1). pp. 603-623. ISSN 2582-8266

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Abstract

Artificial Intelligence (AI) has become a cornerstone of modern healthcare transformation, particularly through the development of Automated Decision Support Systems (DSS). These systems harness clinical data to assist in diagnosis, prognosis, and treatment planning. This review explores the evolution, implementation, and evaluation of AI-powered DSS across multiple clinical domains including radiology, emergency medicine, oncology, and mental health. Drawing on key studies and technological advancements, we present a theoretical model, benchmark comparative experiments, and discuss deployment challenges such as explainability, trust, and data governance. This article offers a roadmap for scaling AI in clinical environments while preserving safety, transparency, and human oversight.

Item Type: Article
Official URL: https://doi.org/10.30574/wjaets.2025.16.1.1240
Uncontrolled Keywords: Artificial Intelligence; Clinical Decision Support; Healthcare Informatics; Machine Learning; Federated Learning; Explainable AI; Medical Diagnostics; EHR Systems
Depositing User: Editor Engineering Section
Date Deposited: 22 Aug 2025 08:56
Related URLs:
URI: https://eprint.scholarsrepository.com/id/eprint/5264