Medical ML Explainable AI (XAI) for Clinical Trust: Bridging the Black Box Gap

Key Points

• The aim is to explore how explainable AI can improve trust in clinical settings using machine learning.
• Analyzed current machine learning techniques in healthcare.
• Examined challenges related to the black box nature of AI models.
• Evaluated the effectiveness of explainable AI frameworks in medical diagnosis.
• Identified key trust barriers in AI applications in healthcare.
• Proposed strategies for implementing explainable AI solutions in clinical practice.