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

## TL;DR

This review explores how artificial intelligence can support medical decision-making in disease management through various applications.

## Contribution

The study systematically identifies and categorizes AI applications in disease management using a scoping review approach.

## Key findings

- Eighty sub-themes were identified and grouped into six main categories of AI applications in disease management.
- AI can improve the reliability and confidence of medical decisions, enhancing intervention accuracy and effectiveness.

## 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.