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

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-16
DOI
https://doi.org/10.5281/zenodo.17371504
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

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

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Shreemati Nathibai Damodar Thackersey Women's University (IN)
Peace, Justice and strong institutions
Openalex Percentile: Top 52%
Artificial Intelligence in Healthcare and Education
DOIOpen Access PDFOpenAlex
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Real-World AI in Healthcare (2023–2025): Optimizing Outcomes and Efficiency · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS