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| Main Authors: | , |
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| Format: | Recurso digital |
| Language: | |
| Published: |
Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.15570146 |
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Table of Contents:
- <p>Abstract <br>The emergence of Artificial Intelligence (AI) has been a catalytic force towards a revolutionary <br>transformation in the scenario of precision medicine, indicating a potential for individualised <br>healthcare. The study explores the diverse integration of AI technologies across all the fields of <br>medical practice, such as diagnostics, pharmacotherapeutics, surgical procedures, rehabilitation, <br>and maternal care. Using secondary data from peer-reviewed journals and academic databases, the <br>study details how AI algorithms process complex data sets spanning genomics to electronic health <br>records to enable personalised therapeutic decisions and enhance patient outcomes. Focus areas <br>covered include AI-guided deep brain stimulation for Parkinson's disease, machine learning-based <br>drug discovery, smart bionic prosthetics, and adaptive pregnancy care systems. The article <br>highlights the capability of AI to improve clinical precision, business efficiency, and personalised <br>care delivery while recognising the significance of ethical factors and long-term clinical effects. <br>This research adds to current academic and professional discourse by placing AI as a central agent <br>in determining the future direction of equitable and responsive healthcare. </p>