Developing Ethical Guidelines for AI-Assisted Diagnosis and Treatment Planning in Healthcare
Ling Wei Tan
Department of Computer Science, Universiti Malaya, Malaysia
Abstract
The advent of Artificial Intelligence (AI) in healthcare, particularly in diagnosis and treatment planning, presents unparalleled opportunities for improving patient outcomes and operational efficiency. However, the integration of AI technologies in these critical areas raises substantial ethical concerns that necessitate the development of comprehensive guidelines. This paper discusses the ethical implications of AI-assisted diagnosis and treatment planning in healthcare, focusing on ensuring accuracy, accountability, transparency, and patient autonomy. We propose a set of ethical guidelines aimed at governing the development, deployment, and use of AI in healthcare settings. These guidelines emphasize the importance of validating AI systems for accuracy and reliability, ensuring accountability for AI-driven decisions, maintaining transparency about the AI systems' functioning and limitations, and respecting patient autonomy by involving them in decision-making processes. By addressing these ethical concerns, this paper aims to contribute to the responsible integration of AI in healthcare, fostering trust among patients, healthcare professionals, and society at large.