AI In Medicine and Healthcare Sector: An Analysis of Laws of Medical Negligence

Abstract

Artificial Intelligence (AI) is rapidly transforming the healthcare landscape, offering exciting possibilities from drug discovery to improved disease diagnosis and treatment planning. Real-world examples are woven throughout the paper to illustrate the significant impact AI already has on various aspects of patient care. However, implementing AI in healthcare is not without its challenges. Ethical considerations, data privacy concerns, and potential biases in algorithms are all critical issues that demand careful attention. The paper emphasizes the importance of transparency, fairness, and trust in developing and deploying AI-powered healthcare solutions. Obtaining informed consent from patients when AI is involved in their diagnosis or treatment is a complex issue that needs to be addressed. Ensuring the reliability and safety of AI algorithms, while maintaining transparency in the development process, presents another hurdle. Mitigating bias in AI algorithms is crucial to guarantee fair and equitable treatment for all patients. Finally, protecting patient privacy while enabling data sharing for AI development presents a significant challenge. Collaboration among healthcare professionals, AI developers, and policymakers is crucial to ensure that AI is used responsibly and effectively to improve healthcare outcomes for all. Beyond the potential of AI, the paper delves into the legal and ethical considerations that arise with its use in medicine.<br>The first aspect to consider is the copyright and patent rights associated with AI creations, as well as the question of liability. Can AI be held liable for medical negligence? If so, who is responsible – the AI itself, its creator, or some combination? These questions become even more relevant in the context of established medical negligence jurisprudence. This paper seeks to understand how different countries are approaching AI-based medical treatments and explores the prospects for future development. It also discusses the legal and ethical implications that may arise, analyzing the advantages and disadvantages of investing in AI for healthcare. By undertaking a doctrinal research approach, the paper critically evaluates the prospects of integrating AI into the healthcare sector and analyzes the policy and legal frameworks needed to ensure responsible use. This research is particularly relevant for policymakers and legal professionals responsible for shaping AI's future in healthcare.

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