Integrating Artificial Intelligence and Nanotechnology to Advance Cancer Treatment

Cancer remains one of the leading causes of death worldwide, responsible for approximately ۱۰ million deaths in ۲۰۲۰, or about one in six fatalities. The integration of artificial intelligence (AI) offers promising advancements in cancer diagnosis, enabling more accurate identification and classification of various cancer types. This progress is crucial for enhancing diagnostic precision for both doctors and patients.Simultaneously, the field of nanomedicine is rapidly evolving, with versatile drug carriers being rigorously evaluated for their effectiveness in targeting tumor sites and improving localized drug delivery. Additionally, combining nano therapy with other treatment approaches is continually being assessed to boost therapeutic efficacy for cancer patients.AI’s role in cancer treatment extends beyond diagnosis. It significantly contributes to managing cancer by analyzing diverse datasets from various diagnostic methods, such as PSA levels, MRI-guided biopsies, genomic biomarkers, and Gleason grading. These methods help in diagnosing, stratifying risk, and monitoring patients, though they often involve a degree of subjectivity.The synergy between AI and nanoparticles can mitigate subjectivity by revealing complex relationships and managing large datasets more effectively. AI algorithms, in conjunction with nanoparticle technology, promise to enhance diagnostic accuracy and overall efficiency, reducing resource use while improving outcomes.This systematic review explores the latest advancements in nanoparticle-based neural networks and AI, focusing on their current roles in cancer diagnosis and management.

کلیدواژه ها:

cancer ، Nanotechnology ، artificial intelligence ، nanoparticles ، Targeted therapy