Analyzing the role of artificial intelligence in cancer diagnosis

Artificial intelligence, as one of the advanced and new technologies, has had a significant impact on various areas of human life. One of these areas is the field of health, especially cancer treatment. Artificial intelligence can help doctors in early diagnosis, predict disease progression, and develop more effective treatments by analyzing extensive and complex data. Artificial intelligence (AI) has brought revolutionary potential to the field of oncology by increasing the accuracy of cancer diagnosis, optimizing treatment strategies, and personalizing various treatments for various types of cancers. This article examines the limitations of traditional diagnostic methods and the transformative role of artificial intelligence in the diagnosis and treatment of cancers such as lung, breast, colorectal, liver, stomach, esophagus, cervical, thyroid, prostate, and skin cancer. The main purpose of this article is to highlight the significant advances of artificial intelligence algorithms in the field of oncology. By detecting cancer early, improving diagnostic accuracy and delivering targeted therapies, AI helps to significantly improve patient outcomes. The use of AI in clinical practice is a cornerstone of the Apollo Precision Oncology Center’s approach. The field of AI, particularly in the area of machine learning, offers exceptional prospects for improving precision oncology and is well-suited to identify patterns in large datasets. AI is revolutionizing the fields of precision oncology and cancer research. In order to provide a more complete understanding of cancer, AI has enabled the identification of hidden patterns from various data sources, including pathology, medical imaging, and molecular profiling. It has also enabled the integration of -omics data. This paper highlights and demonstrates the critical role of AI in improving the overall cancer care system.

کلیدواژه ها:

Cancer ، Artificial Intelligence ، Machine Learning ، Diagnosis ، Treatment ، Disease