Evaluation of AI in Pharmaceutical Medical Devices Using Nanotechnology and Nanomaterials: A Review
Vytheeswari Kadhirvel
*
Department of Pharmaceutical Analysis, RVS College of Pharmaceutical Sciences, Sulur, Coimbatore – 641402, Affiliated to the Tamil Nadu Dr MGR Medical University, 69, Anna Salai, Guindy, Chennai – 600032, Tamil Nadu, India.
S Angala Parameswari
Department of Pharmaceutical Analysis, RVS College of Pharmaceutical Sciences, Sulur, Coimbatore – 641402, Affiliated to the Tamil Nadu Dr MGR Medical University, 69, Anna Salai, Guindy, Chennai – 600032, Tamil Nadu, India.
S S Rajendran
Department of Pharmaceutical Chemistry, RVS College of Pharmaceutical Sciences, Sulur, Coimbatore – 641402, Affiliated to the Tamil Nadu Dr MGR Medical University, 69, Anna Salai, Guindy, Chennai – 600032, Tamil Nadu, India.
T Anu Yashika
Department of Pharmaceutical Analysis, RVS College of Pharmaceutical Sciences, Sulur, Coimbatore – 641402, Affiliated to the Tamil Nadu Dr MGR Medical University, 69, Anna Salai, Guindy, Chennai – 600032, Tamil Nadu, India.
S Nandhini
Department of Pharmaceutical Chemistry, RVS College of Pharmaceutical Sciences, Sulur, Coimbatore – 641402, Affiliated to the Tamil Nadu Dr MGR Medical University, 69, Anna Salai, Guindy, Chennai – 600032, Tamil Nadu, India.
A Archana
Department of Pharmaceutical Analysis, RVS College of Pharmaceutical Sciences, Sulur, Coimbatore – 641402, Affiliated to the Tamil Nadu Dr MGR Medical University, 69, Anna Salai, Guindy, Chennai – 600032, Tamil Nadu, India.
M Chandru
Department of Pharmaceutical Analysis, RVS College of Pharmaceutical Sciences, Sulur, Coimbatore – 641402, Affiliated to the Tamil Nadu Dr MGR Medical University, 69, Anna Salai, Guindy, Chennai – 600032, Tamil Nadu, India.
M. Radhini
Department of Pharmaceutical Analysis, RVS College of Pharmaceutical Sciences, Sulur, Coimbatore – 641402, Affiliated to the Tamil Nadu Dr MGR Medical University, 69, Anna Salai, Guindy, Chennai – 600032, Tamil Nadu, India.
Neelaveni Thangavel
Department of Pharmaceutical Chemistry, RVS College of Pharmaceutical Sciences, Sulur, Coimbatore – 641402, Affiliated to the Tamil Nadu Dr MGR Medical University, 69, Anna Salai, Guindy, Chennai – 600032, Tamil Nadu, India.
*Author to whom correspondence should be addressed.
Abstract
The combination of Artificial Intelligence (AI) and nanotechnology is transforming the development of modern pharmaceutical and medical devices. This review explains how nanomaterials—because of their small size, high surface area, and strong interaction with biological systems—improve the performance, sensitivity, and safety of these devices. AI supports this progress by predicting nanomaterial behavior, designing better drug delivery systems, and improving imaging accuracy through data modelling.Key applications include AI-guided nanocarriers for controlled and site-specific drug delivery, nanomaterial-based flexible sensors for wearable health monitoring, and nanoparticle-enabled imaging platforms for early disease detection. Nanomaterial-based flexible sensors enable advanced wearable devices and virtual or augmented reality applications for continuous health monitoring. Nanocarriers and nanoparticles allow precise and targeted drug delivery, helping to treat diseases such as eye and kidney disorders more effectively. The study also highlights the growing importance of nanotoxicology research to ensure biocompatibility and minimize safety risks. Furthermore, AI-driven databases and predictive tools are now being used to speed up regulatory evaluations and product approval. Together, AI and nanotechnology represent a major step toward intelligent, adaptive, and patient-focused healthcare devices that provide personalized and intelligent healthcare solutions for the future
Keywords: Articles on nanomaterials, AI in biomedicine, flexible sensors, drug delivery, nanotoxicology, regulatory science