Acta Scientific Pharmaceutical Sciences (ASPS)(ISSN: 2581-5423)

Research Article Volume 8 Issue 6

Navigating Ethical and Legal Dimensions in Artificial Intelligence for Healthcare

Sree Sudha TY1*, Hemasri Velmurugan2 and KSBS Krishna Sasanka3

1Assistant Professor, Department of Pharmacology, All India Institute of Medical Sciences (AIIMS), Deoghar, Jharkhand, India
2Junior Resident, Department of Pharmacology, All India Institute of Medical Sciences, (AIIMS), Raipur, Chhattisgarh, India
3Associate Professor, Department of ENT, All India Institute of Medical Sciences (AIIMS), Deoghar, Jharkhand, India

*Corresponding Author: Sree Sudha TY, Assistant Professor, Department of Pharmacology, All India Institute of Medical Sciences (AIIMS), Deoghar, Jharkhand, India.

Received: April 22, 2024; Published: May 21, 2024

Abstract

Health care Artificial Intelligence (HCAI) is readily being used in a broad range of sectors, including medicine, and is commonly thought of as a strategy that may replace human experts in basic medical services. HCAI, on the other hand, poses a number of problems and ethical considerations. This review analyses and discusses HCAI, including the use and potential of HCAI, particular ethical challenges relevant to HCAI, and recommended sustainable governance approaches. Although HCAI's enormous promise has been realised, the ethical difficulties posed by its implementation have introduced novel regulatory needs. To assure reliable HCAI, the establishment of an ethical global governance structure and framework, as well as unique standards for AI use in medicine, is recommended.

Keywords: Artificial Intelligence; Computer; Ethics; Challenges; Health Care System

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Citation

Citation: Sree Sudha TY., et al. “Navigating Ethical and Legal Dimensions in Artificial Intelligence for Healthcare".Acta Scientific Pharmaceutical Sciences 8.6 (2024): 76-79.

Copyright

Copyright: © 2024 Sree Sudha TY., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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