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Real-World AI in Healthcare (2023–2025): Optimizing Outcomes and Efficiency

Year: 2025

Type: article

Abstract: This paper reviews real-world implementations of Artificial Intelligence (AI) technologies in healthcare between 2023 and 2025. It summarizes evidence from clinical studies on AI-driven tools such as predictive analytics, decision support, large language models, and robotic automation. The findings show measurable improvements in patient outcomes, diagnostic accuracy, workflow efficiency, and cost reduction, while highlighting the need for stronger patient and public involvement in AI design and evaluation.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17371504

Author: Shaikh, Alfiya Abdul Hameed

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7092198194

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