Application of Expert Systems with Artificial Intelligence in the Medical Field: A Literature Review

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Published: Feb 23, 2025
DOI: https://doi.org/10.55164/ajstr.v28i2.255684
Keywords:
Artificial intelligence Expert system Medical field AI in medical field AI in healthcare

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John Eric G. Ramirez
Department of Information Technology, Cavite State Univeristy – Silang Campus, Silang, Cavite, Philippines
Mark Kenneth A. Valerio
Department of Information Technology, Cavite State Univeristy – Silang Campus, Silang, Cavite, Philippines
Joshua R. Layug
Department of Information Technology, Cavite State Univeristy – Silang Campus, Silang, Cavite, Philippines
Cereneo S. Santiago Jr
Department of Information Technology, Cavite State Univeristy – Silang Campus, Silang, Cavite, Philippines
Ma. Leah P. Ulanday
Department of Information Technology, Cavite State Univeristy – Silang Campus, Silang, Cavite, Philippines
Jared E. Alabanza
Department of Information Technology, Cavite State Univeristy – Silang Campus, Silang, Cavite, Philippines

Abstract

Artificial intelligence (AI) has made enormous progress in recent decades, significantly influencing various industries, including the medical field. An expert system is a type of artificial intelligence that deliver specialized services in addition to experts by gathering specialty knowledge and expert information in a specific field. In light of the swift rise of Internet technology, the way expert systems are created and supplied has changed. The study used Google Scholar as the online database that provides published content about expert systems that apply AI in the medical field and covers the period of 2019 to 2024 to collect the latest data. The influence and effectiveness of utilizing an expert system with AI across various specializations are emphasized in this study's analysis of their uses in medicine. By using expert systems, they can mimic the decision-making of a human expert, improving healthcare results. Several medical specialties, including gynecology, neurology, orthopedics, ophthalmology, and cardiology, use these solutions based on AI. However, every field has its own set of difficulties, and technological developments are impacting the accuracy and reliability of diagnosis, especially gynecological diseases, which are more complex and diverse. Despite the difficulties, expert systems with AI can provide innovative solutions that can improve patient care. Understanding how AI works can pave the way for future innovation and progress in medical technologies, creating better patient results and more efficient healthcare systems. Educating medical personnel about AI and its applications could help them use these tools more efficiently to provide better patient care.

Article Details

Issue
Vol. 28 No. 2 (2025): March - April
Section
Research Articles
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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