The Impact of Next-Generation AI Technologies on Healthcare Delivery and Medical Decision-Making: a systematic review

  • Said Saidan Misfer Al-fataih et al.
Keywords: Artificial Intelligence in Medicine, Next-Generation AI, Healthcare Delivery, Medical Decision-Making, AI Applications in Healthcare

Abstract

The integration of next-generation artificial intelligence (AI) technologies into healthcare systems has profoundly influenced healthcare delivery and clinical decision-making. This systematic review aims to examine the latest advancements in AI applications within the medical field, focusing on their role in enhancing diagnostic accuracy, personalized treatment, operational efficiency, and patient outcomes. Following PRISMA guidelines, we analyzed peer-reviewed studies from 2016 to 2024, highlighting AI's transformative effects and identifying challenges such as ethical concerns, integration barriers, and regulatory issues. Findings indicate that AI-supported tools, including machine learning algorithms, predictive analytics, and natural language processing, significantly enhance diagnostic and decision-making processes, contributing to improved healthcare quality and patient safety. However, the widespread adoption of AI requires addressing data privacy, algorithm transparency, and healthcare professionals' acceptance. This review underscores the need for further research into AI applications, particularly in refining decision-support systems and ensuring ethical implementation, as the technology continues to shape the future of healthcare.

Published
2024-02-04
Issue
Volume 2024
Section
Regular Issue

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