ARTIFICIAL INTELLIGENCE IN MEDICINE

Abstract

Incorporating artificial intelligence (AI) in medicine has significant potential for improving diagnostic precision, individualised treatment, and operational efficacy in healthcare. Integrating AI technologies presents intricate legal difficulties that must be resolved to guarantee safe and ethical application. Principal legal concerns are data privacy and security, owing to the sensitive nature of medical information and legislation like GDPR and HIPAA. Moreover, enquiries of liability and accountability emerge when AI-generated decisions lead to mistakes or negative consequences, prompting concerns about the liable parties: developers, healthcare practitioners, or institutions. Intellectual property issues concerning AI algorithms and data ownership further complicate the legal situation. Ethical considerations are essential, like informed consent and transparency in AI decision-making procedures. As artificial intelligence advances, it is imperative to establish comprehensive legal frameworks and standards to limit risks, safeguard patient rights, and cultivate confidence in AI-assisted healthcare. Resolving these legal challenges is essential for implementing AI in medicine, ensuring that innovation adheres to legal and ethical standards to benefit patients and healthcare practitioners.

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