THE USE OF ARTIFICIAL INTELLIGENCE (AI) IN VARIOUS MEDICAL SPECIALTIES: CURRENT TRENDS, PERSPECTIVES, AND PROPOSAL FOR REGULATORY PUBLIC POLICY

Abstract

This paper explores the various applications of Artificial Intelligence (AI) in medicine, highlighting its growing impact and implications for medical practices. AI has become one of the most disruptive innovations in recent decades, with the ability to analyze large volumes of data, learn from them, and make autonomous or semi-autonomous decisions, which promises to transform how medical treatments are performed. The paper examines current trends in AI across different specialties, such as medical imaging, personalized medicine, and hospital management, as well as discussing the ethical and regulatory challenges associated with these technologies. It also addresses the potential benefits of AI, including improved diagnostic accuracy, optimized treatments, and reduced medical errors.

However, the use of AI in medicine faces challenges such as the lack of high-quality data, resistance from healthcare professionals, and the need for regulation to ensure patient safety and privacy. The paper proposes a regulatory public policy that addresses these issues and ensures the responsible use of AI, promoting collaboration among researchers, healthcare professionals, and legislators to shape the future of medicine with AI in an ethical and effective way. This study offers a comprehensive view of the opportunities and obstacles associated with AI implementation in the medical field, emphasizing its relevance to the future of healthcare.