Smart Nanoparticles and Artificial Intelligence in Theranostics: Targeted Drug Delivery and Diagnostic Imaging

Theranostics, a novel field that merges diagnostics and therapeutics within a single system, has witnessed a radical change in its outlook owing to the combination of smart nanoparticles and artificial intelligence (AI). The present review brings forth the birth of the multifunctional, stimuli-responsive nanoparticles that are between the sizes of 5 and 200 nm and are made of lipid-based, polymeric, and inorganic carriers, the aim of which is to deliver drugs with spatial and temporal precision while at the same time improving the quality of various diagnostic imaging methods like MRI, CT, PET, optical imaging, and fluorescence imaging. The mechanism of action of thermo-sensitive liposomes is discussed, wherein the liposomes release the drug they carry upon transition of state, which is triggered by mild hyperthermia, and dendrimers, where the poisoning that is dependent on the generation of the dendrimer, especially from the cationic surface charges, is dealt with surface engineering techniques. The section deals with metallic nanoparticles that include gold, silver, and iron oxide, and their future roles in imaging and therapy at the same time, including photo thermal therapy, magnetic hyperthermia, antimicrobial activity, and contrast enhancement. The quantum dots are studied in terms of heavy-metal toxicity, photobleaching, and the usage of several means like ZnS shelling, silica encapsulation, and polymer coatings to have better biocompatibility as their mitigation strategies. AI is spotlighted as a game-changing device for reasonable nanoparticle design, pharmacokinetic forecasting, personalized treatment planning, and improving diagnostic imaging via multimodal data assimilation. The necessity for quality long-term datasets, model transparency, and methods to reduce algorithmic bias in AI-powered personalized nanomedicine is strongly accentuated. Besides, the use of eco-friendly and biodegradable nanomaterials is mentioned, where the AI-assisted material screening and lifecycle prediction are credited for making the processes safer and more compliant with regulations. The review interlinks the recent breakthroughs in smart nanoparticle platforms, AI medications, translational barriers, and future paths while at the same time revealing the possible use of intelligent, patient-specific theranostic techniques in the realm of precision healthcare.