Explainable Artificial Intelligence for Biomedical and Healthcare Applications

1. Exploring Explainable AI: Techniques and Comparative Analysis. 2. Introduction to Explainable Artificial Intelligence in Biomedical and Healthcare Applications. 3. Smart Healthcare System: Automated Methods for diagnosis of diseases using Digital Twin Technology. 4. Explainable AI unlocks the Potential of AI in Biomedical Research and Practice. 5. An Intuitive Ensemble modelling with X-AI architecture for Autism classification. 6. Mental Disorder Management Using Explainable Artificial Intelligence. 7. Unlocking Insights: Data Analysis and Processing Empowered by Explainable AI. 8. Revolutionizing Healthcare: The Role of Artificial Intelligence in Transforming eHealth care. 9. Mental Disorders Management Using Explainable Artificial Intelligence (XAI). 10. Machine Learning Approach to Predict Adverse Effects of mRNA Vaccination: A Comparative Study of Classification Models and Ensemble Learning Techniques. 11. Explainable Artificial Intelligence (EAI): For Health Care Applications and Improvements. 12. Challenges and Imperatives for Equitable and Ethical Development of Explainable AI in Healthcare. 13. A Comprehensive Analysis of the Convergence Between Deep Learning Technologies and Bioinformatics, Catalyzing Groundbreaking Innovations in Biological Data Interpretation. 14. An Exhaustive Exploration of Explainable AI-Driven Applications in Healthcare, Enhancing Diagnostic Accuracy, Treatment Efficacy, and Patient Trust. 15. An In-Depth Exploration of Data Analysis and Processing Through the Prism of Explainable Artificial Intelligence Paradigms. 16. Implications of Artificial Intelligence in Disease Diagnosis

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• Engenharia electrotécnica
• Engenharia do controlo automático
• Engenharia biomédica
• Inteligência artificial

Medical Data Analysis;Bioinformatics;Deep Learning;Robotics and Autonomous Systems;Biometrics Security