Responsible and Explainable Artificial Intelligence in Healthcare

Responsible and Explainable Artificial Intelligence in Healthcare

Ethics and Transparency at the Intersection

Singh, Akansha; Izonin, Ivan; Singh, Krishna Kant

Elsevier Science Publishing Co Inc

12/2024

320

Mole

9780443247880

Pré-lançamento - envio 15 a 20 dias após a sua edição

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1. Revolutionizing Healthcare: The Transformative Role of Artificial Intelligence
2. Ethical Considerations in AI Powered Diagnosis and Treatment
3. Explainable AI Methods to Increase Trustworthiness in Healthcare
4. Designing Transparent and Accountable AI Systems for Healthcare
5. Ensuring Fairness and Mitigating Bias in Healthcare AI Systems
6. AI Enhanced Healthcare: Opportunities, Challenges, Ethical Considerations, and Future Risk
7. Healthcare Revolution: Advances in AI-Driven Medical Imaging and Diagnosis
8. A Deep Learning Approach for Medical Image Classification Using Xai and Convolutional Neural Networks
9. Hybrid Ensemble Learning Model to Improve the Performance and Interpretability of Medical Diagnosis: Small Data Tasks
10. Legal and Regulatory Issues Related to AI in Healthcare
11. Responsible and Explainable Artificial Intelligence in Healthcare: Conclusion and Future Directions
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Responsible AI; Explainable AI; Healthcare; Ethics; Transparency; Interpretable Models; Machine Learning; Data Science; Algorithmic Bias