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

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.

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.

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.

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.

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.