Artificial Intelligence Applications in Decision-Making for Disease Management A scoping review

Authors

Mohammadhiwa Abdekhoda, Philosophy and History Research Center and 2School of Health Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran AND School of Health Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran.
Fatemeh Ranjbaran Madiseh, Center for Preparatory Studies, Sultan Qaboos University, Muscat, Oman.Follow

Abstract

Artificial intelligence (AI) has several potential applications in medicine, creating opportunities for reliable and evidence-based decision-making in disease management. To explore the practical aspects of AI in decision-making, this scoping review was conducted to identify AI applications in disease management using the PRISMA-ScR checklist. Data collection involved searching relevant keywords in Web of Science and Scopus databases in May 2023. Eligibility criteria for study inclusion and exclusion were established, and the review process adhered to the PRISMA-ScR checklist. A total of 80 extracted sub-themes were identified and categorised into 6 main themes: data processing and management, characterisation and analysis, prediction and risk stratification, screening, prognosis and diagnosis. The application of AI can enhance the reliability and confidence in medical decision-making, thereby improving the accuracy and effectiveness of medical interventions.

Publication Date

5-19-2025

First Page

441

Last Page

449

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Recommended Citation

Abdekhoda, Mohammadhiwa and Madiseh, Fatemeh Ranjbaran (2025) "Artificial Intelligence Applications in Decision-Making for Disease Management A scoping review," Sultan Qaboos University Medical Journal: Vol. 25: 441-449.
DOI: https://doi.org/10.18295/2075-0528.2855