Ethical Considerations and Data Privacy Challenges in AI-Powered Healthcare Solutions for Cancer and Cardiovascular Diseases

Abstract

Integrating artificial intelligence (AI) at the speed at which it is being done today has advantages along with potential issues in its application to health care – notably in diagnosing and treating cancer and heart disease. The development of AI health systems, such as the Clinical Decision Support Systems (CDSS), is transforming the efficiency of care delivery by increasing individual patient treatment options. Nevertheless, these advancements raise ethical challenges and data protection problems that should be solved to use the technology. This article discusses the ethical aspects of AI in medicine, including algorithmic bias, transparency of decision-making processes, and patient independence, while bringing to light the difficulties protecting sensitive health information. The paper highlights the possible methods that can be applied by healthcare organizations to pension and manage the risks through governance, practice transparency and compliance with privacy legislation. It also highlights the ethical principles and laws that should be adhered to by healthcare organizations in the deployment of AI technologies.