Machine Learning Approaches For Lung Cancer Diagnosis

Author(s)	Prof. Mohit Raghav
Country	India
Abstract	Artificial Intelligence (AI) is transforming the field of cancer detection by enhancing accuracy and timeliness across various modalities, from radiological imaging to genetic sequencing. This paper explores the diverse ways in which AI contributes to early cancer detection and diagnosis, highlighting its role in predicting and identifying cancer at its nascent stages. AI solutions have shown promise in improving treatment outcomes by facilitating early interventions and precise diagnostics. We address the key challenges associated with integrating AI into cancer detection, including issues related to data quality, interpretability, and regulatory considerations. Furthermore, we discuss strategies for refining AI functionalities to better meet the demands of oncological practice. The core of this paper emphasizes the transitional power of AI in revolutionizing cancer detection, providing insights into both current capabilities and future prospects.
Keywords	Machine learning, deep learning
Field	Engineering
Published In	Volume 5, Issue 7, July 2024
Published On	2024-07-16
Cite This	Machine Learning Approaches For Lung Cancer Diagnosis - Prof. Mohit Raghav - IJLRP Volume 5, Issue 7, July 2024.

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