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Lung Cancer Detection With AIoT Systems: A Revolutionary Approach

Lung Cancer Detection With AIoT Systems: A Revolutionary Approach
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Author(s): Usha Gopal (SRM Institute of Science and Technology, India), Vinoth Nas (SRM Institute of Science and Technology, India), Santosh Reddy Addula (University of the Cumberlands, USA), R. Thamizhamuthu (SRM Institute of Science and Technology, India)and A. Anbarasi (SRM Institute of Science and Technology, India)
Copyright: 2025
Pages: 28
Source title: Future Innovations in the Convergence of AI and Internet of Things in Medicine
Source Author(s)/Editor(s): Velliangiri Sarveshwaran (National Chung Cheng University, Taiwan), Karthikeyan Periyaswami (National Chung Cheng University, Taiwan)and Keping Yu (University of Hosei, Japan)
DOI: 10.4018/979-8-3693-7703-1.ch007

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Abstract

One of the main reasons people die from cancer around the world is lung cancer. For successful treatment and higher survival rates, early detection is very important. X-rays, CT scans, PET scans, and tissue biopsies are all examples of traditional ways to diagnose a problem. While these methods are effective, they are often invasive, time-consuming, and expensive. The advent of artificial intelligence of things (AIoT) promises to revolutionize lung cancer detection by combining the power of artificial intelligence (AI) with the internet of things (IoT). Hence, this chapter gives overall knowledge in various revolutionary approaches, applications of AIoT, challenges and limitations of AIoT, case studies in AIoT for cancer detection. Then this chapter concludes with future directions where the genomic data techniques, real-time AI processing, enhanced sensor technology, and collaborative healthcare ecosystems need to be facilitated with seamless data exchange techniques. Finally, this chapter concludes with the transformative approach.

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