Abstract
Artificial intelligence (AI) is revolutionizing cancer treatment by enhancing patient management, diagnosis, and therapy. Through advanced AI algorithms, early diagnosis of tumors is made more accurate by detecting subtle abnormalities that might be missed by the human eye. This early detection is critical for successful treatment and better patient outcomes. The objective of this research is to evaluate the impact of AI on improving cancer diagnosis, treatment customization, and drug development processes. The findings reveal that AI significantly accelerates the drug discovery process by analyzing large datasets to identify potential candidates, thus reducing the time and costs associated with developing new treatments. Furthermore, AI enhances clinical trials by improving patient recruitment and optimizing trial design, leading to higher success rates. AI-driven telemedicine solutions also help bridge healthcare gaps in underserved areas, ensuring more equitable access to cancer treatment. The research’s implications suggest that, despite challenges such as data security and the need for improved infrastructure, AI holds great potential to further individualize, streamline, and expand the availability of cancer care. Future advancements are likely to make cancer treatment even more precise, effective, and accessible worldwide.
Published Version
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