Applications and Ethical Challenges of ChatGPT in Healthcare and Medical Practice

Abstract

Artificial intelligence has rapidly transformed many sectors, including healthcare and medicine. Among recent developments, large language models such as ChatGPT have gained significant attention for their ability to generate human-like responses and assist in a variety of medical and healthcare tasks. ChatGPT has the potential to support healthcare professionals and patients by providing information, assisting in medical education, contributing to disease diagnosis, supporting pharmaceutical research, and improving the interpretation of medical images such as radiology and cellular imaging. In addition, the technology can assist patients by providing preoperative information, facilitating communication, and helping individuals better understand complex medical terminology. Despite these advantages, the integration of ChatGPT into healthcare systems also raises several concerns, including data privacy, ethical considerations, reliability of AI-generated information, and the need for human oversight in clinical decision-making. Issues such as bias in training data, lack of emotional understanding, and the potential misuse of AI-generated content must also be carefully addressed. This article reviews the potential applications of ChatGPT in healthcare and medicine while highlighting its benefits, limitations, and ethical challenges. The study emphasizes the importance of responsible adoption, appropriate regulatory frameworks, and collaboration between healthcare professionals and artificial intelligence experts to ensure that AI technologies are used safely and effectively in medical practice.