Correction: Al-bakri et al. A Hybrid Explainable AI Framework (HXAI) for Accurate and Interpretable Diagnosis of Alzheimer’s Disease. Diagnostics 2025, 15, 3118

Key Points

The main aim is to develop a Hybrid Explainable AI Framework for diagnosing Alzheimer’s Disease accurately and understandably.
Development of a hybrid AI framework combining various techniques.
Application of the framework for diagnosing Alzheimer's Disease.
Utilization of explainable AI features for interpretability.
Enhanced diagnostic accuracy compared to traditional methods.
Improved interpretability of AI-generated diagnoses for stakeholders.

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Demonstrates an AI framework for accurate Alzheimer’s diagnosis, highlighting its interpretability.

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Al-bakri et al. (2026) studied this question.

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