15.Issue 12 december 24 - INDO AMERICAN JOURNAL OF PHARMACEUTICAL SCIENCES

Volume : 11, Issue : 12, December – 2024

Title:

ARTIFICIAL INTELLIGENCE IN LUNG CANCER SCREENING: THE FUTURE IS HERE

Authors :

D. Hemalatha*, K. Navyaja, M. Gurava Reddy, Dr. K. Venu Gopal

Abstract :

Lung cancer remains one of the leading causes of cancer-related deaths worldwide, affecting the airways, bronchi, bronchioles, and alveoli. The rates of lung cancer are especially high among young smokers and people living in polluted areas, with an estimated 2.2 to 2.5 million new cases reported in 2023. Traditionally, lung cancer has been diagnosed using methods like biopsy, low-dose CT scans, PET-CT imaging, and X-rays. However, these methods can sometimes miss early-stage cancers due to various errors. Recently, the use of Artificial Intelligence (AI) has transformed lung cancer screening, diagnosis, and treatment. AI technologies, including machine learning, deep learning, radiomics, and natural language processing (NLP), have shown high accuracy in detecting suspicious nodules and analyzing clinical data, medical histories, genetic profiles, and demographics. AI can not only predict the type and stage of cancer but also assess the likelihood of future occurrences, reducing diagnostic errors and improving treatment options. Additionally, AI models have shown potential in using biomarkers and tumor markers to improve early detection accuracy. This review describes about the field continues to develop, overcoming current challenges will be key to fully realizing AI’s potential in lung cancer diagnosis and treatment.
Key words: Lung cancer, Artificial Intelligence, Machine learning, natural language processing (NLP), multiple imaging modalities.

Cite This Article:

Please cite this article in press D. Hemalatha et al., Artificial Intelligence In Lung Cancer Screening: The Future Is Here..,Indo Am. J. P. Sci, 2024; 11 (12).

Number of Downloads : 10

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