Artificial intelligence in medicine: from ethical, social, and legal perspectives

Contributor(s):

Material type: Text

TextPublication details: Academic Press London 2024Description: xii, 147 pISBN:

9780323950688

Subject(s):

DDC classification:

610.285 SUN

Summary: Artificial Intelligence in Medicine: From Ethical, Social, and Legal Perspectives provides answers on how to improve acceptance and diminish the anxiety of the use of AI-assisted medicine. Through a series of social, ethical, and legal discussions from clinicians, social scientists, ethicists, and legal experts, this important reference has coverage that includes good data custodianship and stewardship, data access, data bias, data & healthcare equity, privacy and confidentiality, algorithmic understanding, and regulatory guidance, accountability, and legal responsibility. This reference will explain to healthcare providers how AI will enhance healthcare, will introduce to scientists and researchers the ethical and social aspect of AI that needs to be addressed, and will urge policymakers and health authorities to consider the legal framework needed to implement AI technology in healthcare. (https://shop.elsevier.com/books/artificial-intelligence-in-medicine/sung/978-0-323-95068-8)

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Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Public Policy & General Management	610.285 SUN (Browse shelf(Opens below))	1	Available		007506

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Previous	610.285 SIT Electronic health records	610.285 SNE Leading healthcare IT: managing to succeed	610.285 SNE Renovating healthcare it: building the foundation for digital transformation	610.285 SUN Artificial intelligence in medicine: from ethical, social, and legal perspectives	610.285 VOL Health informatics: multidisciplinary approaches for current and future professionals	610.28563 SAX Artificial intelligence and machine learning in healthcare	610.289 BUK Patient safety in clinical practice: a diverse approach to safe healthcare for all	Next

Table of content:
1. Artificial Intelligence is the future Medicine?

2. What is needed for Artificial Intelligence to be successfully implemented in Medicine?

3. Data Access, Data Bias, Data Equity

4. Data Custodian and Data Stewardship

5. Respect and Dignity

6. Privacy and Confidentiality

7. Algorithmic Understanding

8. Algorithmic Adversarial Attacks

9. Accountability and Legal Responsibility

10. Regulatory Guidance for AI Devices11. Equity of Healthcare

12. AI-assisted Medicine or AI-driven Medicine

[https://shop.elsevier.com/books/artificial-intelligence-in-medicine/sung/978-0-323-95068-8]

Artificial Intelligence in Medicine: From Ethical, Social, and Legal Perspectives provides answers on how to improve acceptance and diminish the anxiety of the use of AI-assisted medicine. Through a series of social, ethical, and legal discussions from clinicians, social scientists, ethicists, and legal experts, this important reference has coverage that includes good data custodianship and stewardship, data access, data bias, data & healthcare equity, privacy and confidentiality, algorithmic understanding, and regulatory guidance, accountability, and legal responsibility.

This reference will explain to healthcare providers how AI will enhance healthcare, will introduce to scientists and researchers the ethical and social aspect of AI that needs to be addressed, and will urge policymakers and health authorities to consider the legal framework needed to implement AI technology in healthcare.

(https://shop.elsevier.com/books/artificial-intelligence-in-medicine/sung/978-0-323-95068-8)

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