Current challenges and future opportunities for XAI in machine learning-based clinical decision support systems: a systematic review

Background

Artificial intelligence has significant potential to transform healthcare, but limited transparency in AI decision-making remains a major challenge for clinical adoption.

Research

This systematic review investigated the current applications of Explainable Artificial Intelligence (XAI) in machine learning-based Clinical Decision Support Systems. The study analysed existing approaches, explanation methods, clinical applications, and future research challenges.

Potential Impact

The findings highlight the importance of explainable AI for improving clinician trust, supporting ethical decision-making, and enabling safe integration of AI technologies into healthcare.