AI-DRIVEN DIAGNOSTICS: TRANSFORMING PRECISION MEDICINE AND CLINICAL DECISION-MAKING
- Authors
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Dr. Emily Clarkson
Department of Biomedical Engineering University of Toronto, Canada
Author
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- Keywords:
- AI governance and interdisciplinary collaboration
- Abstract
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Artificial intelligence (AI) has become a transformative force in medical diagnostics, offering unprecedented accuracy, efficiency, and scalability in disease detection and management. This study explores the integration of AI-driven systems in precision medicine, emphasizing diagnostic imaging, pathology, genomics, and clinical decision support tools. Using a comprehensive review of recent literature and case-based observations, the paper evaluates how AI algorithms outperform traditional diagnostic approaches while addressing concerns related to data privacy, interpretability, and ethical use. The findings highlight the necessity of responsible AI governance and interdisciplinary collaboration to ensure that technological innovation enhances rather than replaces human expertise in healthcare.
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- Published
- 2025-11-18
- Issue
- Vol. 1 No. 1 (2025)
- Section
- Articles
- License
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Copyright (c) 2025 Dr. Emily Clarkson (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.








