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image of Role of Artificial Intelligence in Nanomedicine and Organ-specific Therapy: An Updated Review

Abstract

Background

In organ-specific therapy, artificial intelligence (AI) is primarily used to improve surgical planning through image analysis, predict post-transplant outcomes, personalize treatment plans based on patient data, optimize organ allocation logistics, and donor-recipient precision mapping for organs to improve transplants. Furthermore, all these applications ultimately lead to better patient outcomes and enhanced organ therapy.

Objective

This review aims to examine the revolutionary effects of AI in some key healthcare fields, such as nanomedicine, cancer treatment, clinical applications, and organ-specific delivery.

Methods

This review article discusses in detail the role of AI in nanomedicine, cancer therapy, clinical applications, organ-specific delivery (, cardiovascular, gastroenterology, kidney, liver, lung, ophthalmology, skin, ), diagnosis, and radiotherapy. In addition, it also discusses limitations and challenges of AI in healthcare.

Results

AI-based clinical translation has potential but faces challenges like artifact vulnerability, ethical and legal considerations, and security measures. Restrictive data-use policies may hinder accurate analysis. Regulations and collaboration with data-sharing mechanisms could overcome barriers.

Conclusion

AI is being utilized in organ-specific therapy to enhance donor-recipient matching, surgical planning, post-transplant outcomes prediction, and personalized treatment plans by analyzing patient data.

© 2025 Bentham Science Publishers
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2025-07-22
2025-09-02

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Role of Artificial Intelligence in Nanomedicine and Organ-specific Therapy: An Updated Review
Bentham Science Publishers ; https://doi.org/10.2174/0113894501394785250715165404
/content/journals/cdt/10.2174/0113894501394785250715165404
/content/journals/cdt/10.2174/0113894501394785250715165404
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  • Article Type:     Review Article
Keywords: diagnosis ; clinical ; neural networks ; Artificial intelligence ; organ-specific therapy ; nanomedicine ; machine learning

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