Future of Precision Medicine with AI

Abstract The emergence of Artificial Intelligence (AI) has been a catalytic force towards a revolutionary transformation in the scenario of precision medicine, indicating a potential for individualised healthcare. The study explores the diverse integration of AI technologies across all the fields of medical practice, such as diagnostics, pharmacotherapeutics, surgical procedures, rehabilitation, and maternal care. Using secondary data from peer-reviewed journals and academic databases, the study details how AI algorithms process complex data sets spanning genomics to electronic health records to enable personalised therapeutic decisions and enhance patient outcomes. Focus areas covered include AI-guided deep brain stimulation for Parkinson's disease, machine learning-based drug discovery, smart bionic prosthetics, and adaptive pregnancy care systems. The article highlights the capability of AI to improve clinical precision, business efficiency, and personalised care delivery while recognising the significance of ethical factors and long-term clinical effects. This research adds to current academic and professional discourse by placing AI as a central agent in determining the future direction of equitable and responsive healthcare.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-25
DOI
https://doi.org/10.5281/zenodo.15570146
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Future of Precision Medicine with AI

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

Future of Precision Medicine with AI

article en

Abstract

Abstract The emergence of Artificial Intelligence (AI) has been a catalytic force towards a revolutionary transformation in the scenario of precision medicine, indicating a potential for individualised healthcare. The study explores the diverse integration of AI technologies across all the fields of medical practice, such as diagnostics, pharmacotherapeutics, surgical procedures, rehabilitation, and maternal care. Using secondary data from peer-reviewed journals and academic databases, the study details how AI algorithms process complex data sets spanning genomics to electronic health records to enable personalised therapeutic decisions and enhance patient outcomes. Focus areas covered include AI-guided deep brain stimulation for Parkinson's disease, machine learning-based drug discovery, smart bionic prosthetics, and adaptive pregnancy care systems. The article highlights the capability of AI to improve clinical precision, business efficiency, and personalised care delivery while recognising the significance of ethical factors and long-term clinical effects. This research adds to current academic and professional discourse by placing AI as a central agent in determining the future direction of equitable and responsive healthcare.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 61%
Artificial Intelligence in Healthcare and Education
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Future of Precision Medicine with AI · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS