EXPLAINABLE ARTIFICIAL INTELLIGENCE IN HEALTHCARE: BUILDING TRUST IN AI ASSISTED CLINICAL DECISION MAKING
Keywords:
AI Regulation, Clinical Decision Support, Clinician Trust, Explainable AI, Interpretability, LIME, Medical Imaging, Predictive Diagnostics, SHAPAbstract
AI is now commonplace in everyday healthcare, reading scans, predicting sepsis and alerting clinicians topatients who are likely to be at most risk. By late 2025, the US FDA had approved more than 1450 AIenabled medical devices for use in the country. However, the most accurate AI models tend to be the most difficult to interpret. Some of them
References
1. Rosenbacke R, Melhus Å, McKee M, Stuckler D. How Explainable Artificial Intelligence Can Increase or Decrease Clinicians' Trust in AI Applications in Health Care: Systematic Review. JMIR AI. 2024;3:e53207. doi:10.2196/53207.
2. Alkhanbouli R, Matar Abdulla Almadhaani H, Alhosani F, Simsekler MCE. The Role of Explainable Artificial Intelligence in Disease Prediction: A Systematic Literature Review and Future Research Directions. BMC Medical Informatics and Decision Making. 2025;25:110. doi:10.1186/s12911-025-02944-6.
