Abstract Artificial intelligence (AI) is reshaping healthcare by enhancing diagnostic precision, treatment personalization, and overall patient care. By leveraging technologies such as machine learning, deep learning, natural language processing, and computer vision, AI enables faster and more accurate decision-making, supports drug discovery and development, and facilitates remote patient monitoring. Beyond improving clinical outcomes, AI also contributes to holistic well-being by addressing physical, mental, social, occupational, and environmental health. Wearable AI devices promote proactive health management, virtual assistants improve mental health accessibility, and predictive analytics enable early intervention for disease prevention. However, the integration of AI in healthcare presents challenges, including data privacy concerns, algorithmic bias, and the need for transparency and trust. Ensuring the responsible and equitable deployment of AI requires robust ethical guidelines, interdisciplinary collaboration, and policies that safeguard patient rights while maximizing the technology’s benefits. By exploring both the transformative potential and inherent challenges of AI, this paper aims to highlight the critical role of AI in shaping the future of healthcare and human well-being.
Bayram et al. (Sun,) studied this question.