Unveiling the Power of Swarm Intelligence: A Holistic Performance Comparison for Lung Cancer Classification
Received Date: May 01, 2023 / Published Date: May 29, 2023
Abstract
Artificial intelligence based prediction models are being developed to address these issues and may have a future role in screening, diagnosis, treatment selection, and decision-making around salvage therapy. Imaging plays an essential role in all components of lung cancer management and has the potential to play a key role in AI applications. Artificial intelligence has demonstrated value in prognostic biomarker discovery in lung cancer diagnosis, treatment, and response assessment, putting it at the forefront of the next phase of personalized medicine. In this review, we will provide a summary of the current literature implementing AI for outcome prediction in lung cancer.
Citation: Monga O (2023) Unveiling the Power of Swarm Intelligence: A Holistic Performance Comparison for Lung Cancer Classification. Arch Sci 7: 158. Doi: 10.4172/science.1000158
Copyright: © 2023 Monga O. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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