Advances in AI's Future in Toxicology: Integrating Computational Prediction and Clinical Translation Through Explainable Artificial Intelligence.
Current AI-based approaches for toxicity prediction are summarized, the interpretability challenges that hinder their practical implementation are examined, and the emerging role of XAI is highlighted in bridging the gap between computational prediction and clinical application are highlighted.