"Transforming Lung Cancer Detection with Artificial Intelligence: Harnessing Advanced Imaging Analysis for Early Diagnosis, Precision Medicine, and Improved Patient Outcomes"

Abstract

Lung cancer claims more cancer deaths than any other disease worldwide. 
Current methods find lung cancer earlier but X-rays and CT scans oftcn 
show errors and take too much time to produce results. Medical imaging 
technology improves its ability to spot and assess lung cancer because AI 
research shows better detection results already. Our research examines 
how AI technologies improve lung cancer detection by studying its machine 
learning and deep learning features particularly Convolutional Neural 
Networks. AI helps medical imaging perform three essential functions: it 
decreases analysis errors, enhances workflow process, and maintains 
precise output results. The system faces three core limitations including 
making precise data from input data sets and studying AI system mechanics 
along with maintaining ethical policies. This study explains how advanced 
AI tech works to spot lung cancer and explains what needs to be solved to 
make AI work in medical treatment.