Artificial Intelligence in Healthcare Innovation

Abstract Artificial Intelligence (AI) is transforming healthcare by enhancing diagnostic accuracy, improving treatment efficiency, and enabling personalized care. Machine learning algorithms analyze large datasets, from medical imaging to genomics, for early detection of diseases such as cancer and Alzheimer’s. AI-powered tools accelerate drug discovery, optimize clinical trials, and reduce development timelines. Robotic-assisted surgeries, predictive analytics, and virtual assistants further improve precision, reduce recovery times, and provide real-time patient monitoring. Despite its potential, AI adoption faces challenges including data privacy, algorithmic bias, and accessibility gaps. Overall, AI signifies a paradigm shift toward data-driven, proactive, and patient-centered healthcare systems, ensuring improved outcomes and equitable care delivery.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-31
DOI
https://doi.org/10.5281/zenodo.17139426
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence in Healthcare Innovation

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Artificial Intelligence in Healthcare Innovation

article en

Abstract

Abstract Artificial Intelligence (AI) is transforming healthcare by enhancing diagnostic accuracy, improving treatment efficiency, and enabling personalized care. Machine learning algorithms analyze large datasets, from medical imaging to genomics, for early detection of diseases such as cancer and Alzheimer’s. AI-powered tools accelerate drug discovery, optimize clinical trials, and reduce development timelines. Robotic-assisted surgeries, predictive analytics, and virtual assistants further improve precision, reduce recovery times, and provide real-time patient monitoring. Despite its potential, AI adoption faces challenges including data privacy, algorithmic bias, and accessibility gaps. Overall, AI signifies a paradigm shift toward data-driven, proactive, and patient-centered healthcare systems, ensuring improved outcomes and equitable care delivery.

Zenodo (CERN European Organization for Nuclear Research)
G.S. Science, Arts And Commerce College (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 38%
Geochemistry and Geologic Mapping
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