Overview Integrating Artificial Intelligence and Nanotechnology to Help Cancer Treatment

Cancer is one of the leading causes of death worldwide, accounting for approximately ۱۰ million deaths in ۲۰۲۰, or approximately one in six deaths. The ability to accurately identify cancer and classify types of cancer using artificial intelligence will make significant progress in cancer diagnosis for doctors and patients. The field of nanomedicine is rapidly evolving, and versatile drug carriers are being evaluated for effectiveness in reaching target tumor sites and improving local drug delivery. In addition, the combination of nano therapy with combinatorial approaches is continuously assessed to increase the effectiveness of treatment for cancer patients.However, this is only one of the roles that artificial intelligence can play in cancer with the help of nanoparticles. Cancer diagnosis and management involves data from various methods to aid decision-making. PSA levels, magnetic resonance imaging-guided (MRI) biopsies, genomic biomarkers, and Gleason grading are used to diagnose, stratify risk, and monitor patients during follow-up. However, tracking the diagnosis and subsequent risk classification often lends itself to considerable subjectivity. Artificial intelligence (AI) combined with nanoparticles can allow clinicians to detect complex elationships and manage massive data sets. By using artificial intelligence algorithms and reducing subjectivity, fewer resources can be used while improving overall efficiency and accuracy in cancer diagnosis and management.; Therefore, this systematic review is focused on analyzing the advances in nanoparticle-based artificial neural networks alongside artificial intelligence and their current role in cancer diagnosis and management.

کلیدواژه ها:

cancer ، artificial intelligence ، nanoparticles ، algorithm ، guidance ، classification