Explainable Artificial Intelligence: Importance, Use Domains, Stages, Output Shapes, and Challenges
There is an urgent need in many application areas for eXplainable ArtificiaI Intelligence
(XAI) approaches to boost people's confidence and trust in Artificial Intelligence methods …
(XAI) approaches to boost people's confidence and trust in Artificial Intelligence methods …
Cross-modal alignment and contrastive learning for enhanced cancer survival prediction
T Li, X Zhou, J Xue, L Zeng, Q Zhu, R Wang… - Computer Methods and …, 2025 - Elsevier
Abstract Background and Objective: Integrating multimodal data, such as pathology images
and genomics, is crucial for understanding cancer heterogeneity, personalized treatment …
and genomics, is crucial for understanding cancer heterogeneity, personalized treatment …
Improving adherence to medication in an intelligent environment using reinforcement learning
Correct and timely medication plays an important role in the treatment and recovery of a
patient. Poor health outcomes are associated with the nonadherence to medication which …
patient. Poor health outcomes are associated with the nonadherence to medication which …