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

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 (e.g., cardiovascular, gastroenterology, kidney, liver, lung, ophthalmology, skin, etc.), 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.