Artificial Intelligence Innovates in Healthcare and Balances Risks

Abstract

Artificial intelligence is profoundly reshaping the global healthcare landscape. From cancer screening to clinical documentation, from drug discovery to public health forecasting, artificial intelligence demonstrates remarkable potential to enhance efficiency, improve diagnostic accuracy, and expand accessibility. It also significantly reduces physicians’ administrative burden through automated documentation while advancing telemedicine and equitable healthcare delivery. However, issues such as data privacy breaches, algorithmic bias, limited interpretability of models, erosion of clinical skills, and unclear accountability have raised serious concerns. This paper adopts the framework of “value–risk–governance” to review the applications, challenges, and governance strategies of artificial intelligence in global healthcare. It first summarises the evidence of artificial intelligence’s value in medical imaging, personalised treatment, drug discovery, public health prediction, and telemedicine. It then analyses challenges including privacy and security, algorithmic bias, responsibility allocation, ethical dilemmas, and cross-border governance. Finally, it highlights the importance of interdisciplinary integration, international cooperation, and sustainability. It argues that the future of healthcare artificial intelligence must be built on principles of human-centricity, trustworthiness, and equity in order to achieve global health for all.