AI-Driven Precision Medicine: Transforming Personalized Cancer Treatment

The advent of artificial intelligence (AI) has revolutionized the field of precision medicine, particularly in cancer treatment. AI-driven models are enabling more personalized approaches, improving diagnostic accuracy, treatment planning, and outcome predictions. By analyzing vast datasets, including genomic, clinical, and imaging data, AI can identify patterns that might go unnoticed by traditional methods, allowing for the development of tailored therapies specific to each patient’s genetic makeup and disease profile. This transformative shift is enhancing early detection, optimizing therapeutic strategies, and minimizing adverse effects, ultimately leading to more effective and individualized cancer care. As AI continues to evolve, its role in personalized oncology is expected to expand, driving advancements in both clinical practice and research.

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Publication Details

Journal
Journal of AI-powered medical innovations.
Published
2024-10-05
DOI
https://doi.org/10.60087/vol2iisue1.p21
Citations
10
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
4.04
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article

AI-Driven Precision Medicine: Transforming Personalized Cancer Treatment

Sohana Akter
10 citations
Journal of AI-powered medical innovations.
Radiomics and Machine Learning in Medical Imaging
4.04
article

AI-Driven Precision Medicine: Transforming Personalized Cancer Treatment

Sohana Akter
article en
10 citations

Abstract

The advent of artificial intelligence (AI) has revolutionized the field of precision medicine, particularly in cancer treatment. AI-driven models are enabling more personalized approaches, improving diagnostic accuracy, treatment planning, and outcome predictions. By analyzing vast datasets, including genomic, clinical, and imaging data, AI can identify patterns that might go unnoticed by traditional methods, allowing for the development of tailored therapies specific to each patient’s genetic makeup and disease profile. This transformative shift is enhancing early detection, optimizing therapeutic strategies, and minimizing adverse effects, ultimately leading to more effective and individualized cancer care. As AI continues to evolve, its role in personalized oncology is expected to expand, driving advancements in both clinical practice and research.

Journal of AI-powered medical innovations.Vol. 2(1)
University of Dhaka (BD)
Good health and well-being
Openalex Percentile: Top 6%
Radiomics and Machine Learning in Medical Imaging
4.04
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