Generative Artificial Intelligence and Ethics for Healthcare
Autor Loveleen Gaur, Ajith Abrahamen Limba Engleză Paperback – sep 2025
- Establishes a basic understanding of the concept of Generative AI, along with various ethical challenges
- Focuses on specific issues such as Data Privacy, Patient Data Ownership, Trust, Accountability, and Informed Consent
- Explores the latest concepts of Health Equity, Lawfulness, and Empathy in relation to Generative AI and the role of governability
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Specificații
ISBN-13: 9780443331244
ISBN-10: 0443331243
Pagini: 225
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE
ISBN-10: 0443331243
Pagini: 225
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE
Cuprins
1. Generative AI in Healthcare: Introduction, Concept, Applications and Challenges
2. Understanding Training Data and Mitigating Biases in Training Data
3. Calibrating Generative AI Models for Healthcare
4. Explainability in Generative AI and LLMs
5. Ethical considerations in Generative AI development and usage
6. Ethical concerns of Generative AI in Healthcare applications
7. Ethical concern of Data Privacy and Patient Data Ownership
8. Trust, Accountability, and Informed Consent: Cornerstones of Ethical Practice in Clinical Medicine
9. Personalized Medicine and Data Privacy: Where to draw the boundary
10. Autonomous Medical Diagnosis: How to make balance between Accuracy and Accountability
11. Health Equity and Generative AI: Role, Impact and Challenges
12. Lawfulness and Generative AI
13. Empathy and Generative AI: Role and Ethical challenges
14. Role of Governability and Generative AI for Healthcare
2. Understanding Training Data and Mitigating Biases in Training Data
3. Calibrating Generative AI Models for Healthcare
4. Explainability in Generative AI and LLMs
5. Ethical considerations in Generative AI development and usage
6. Ethical concerns of Generative AI in Healthcare applications
7. Ethical concern of Data Privacy and Patient Data Ownership
8. Trust, Accountability, and Informed Consent: Cornerstones of Ethical Practice in Clinical Medicine
9. Personalized Medicine and Data Privacy: Where to draw the boundary
10. Autonomous Medical Diagnosis: How to make balance between Accuracy and Accountability
11. Health Equity and Generative AI: Role, Impact and Challenges
12. Lawfulness and Generative AI
13. Empathy and Generative AI: Role and Ethical challenges
14. Role of Governability and Generative AI for Healthcare