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The Impacts of Artificial Intelligence on the Healthcare Industry

Author(s)

Shan Ge

Affiliation(s)

AI Digital Media College, Liaoning Communication University, Shenyang, Liaoning, China

Abstract

Driven by the rapid commercialization of big data, deep learning and large language model technologies, artificial intelligence (AI) has accelerated its penetration across the entire industrial chain of healthcare and evolved into a core engine fuelling the digital transformation of medical and health services. Conventional healthcare has long been plagued by practical bottlenecks including uneven geographical distribution of premium medical resources, constrained diagnosis and treatment efficiency, exorbitant costs of new drug research and development (R&D), and insufficient clinical capacity at grassroots medical institutions. Widely deployed in medical image diagnosis, computer-aided clinical decision-making, new drug development, chronic disease management, refined hospital administration and public health early warning, AI is profoundly reshaping the healthcare sector in terms of service modes, industrial structures and resource allocation. Adopting the literature review approach, this paper sorts out mainstream AI application scenarios in healthcare, analyses the positive transformations and practical dilemmas brought by AI from both favourable and unfavourable perspectives, and proposes targeted implementation strategies against existing challenges concerning data security, algorithmic flaws, talent shortages and ethical supervision. The research concludes that AI delivers robust technical support for improving healthcare quality, cutting operational costs and advancing universal medical access. Nevertheless, large-scale industry adoption is hampered by multiple restraints such as fragmented medical data and incomplete institutional frameworks. Coordinated progress in technological innovation, institutional improvement and talent cultivation is indispensable to facilitate sound integration between AI and healthcare, further advancing smart healthcare and the Healthy China Initiative.

Keywords

Artificial Intelligence; Smart Healthcare; Clinical Diagnosis and Treatment; Medical Ethics; Medical and Health Services

References

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