Generation AI's View on Digital Healthcare: Property Rights vs. Realities

Abstract

This article explores the issues of data ownership and the actual application of integrating artificial intelligence (AI) into digital healthcare. It recommends seeing each patient as a complicated data structure in order to make tailored therapy more accessible. But this raises ethical questions about marketing and privacy. The paper highlights how AI may improve healthcare by analyzing large datasets to improve diagnosis and treatment. Nevertheless, challenges remain related to prejudice, openness, and human supervision. It demonstrates the value of AI by converting MRI data to CT scans using generative adversarial networks. However, more effort is needed to ensure that AI promotes health equity. The report concludes that in order to find a middle ground between technical progress and patient rights, ongoing research and stakeholder participation are necessary. As the healthcare business embraces digital transformation, more investigation into safeguarding privacy, enhancing human-AI interaction, and reducing prejudice is vital. Medical Technology, Generation AI, Data Ownership, Patient as an Organization, and Data Security are some of the index terms.