AI in Healthcare: Deep Learning Solutions for Lung Cancer Detection

Lung cancer remains one of the leading causes of cancer-related deaths worldwide, emphasizing the urgent need for early detection and accurate diagnosis.Traditional diagnostic methods, such as imaging and biopsy, often face limitations in sensitivity and specificity, leading to delayed diagnosis and suboptimal treatment outcomes.Artificial intelligence (AI), particularly deep learning, has emerged as a powerful tool in healthcare, offering innovative solutions for lung cancer detection.Deep learning algorithms, leveraging large datasets of medical imaging, such as computed tomography (CT) scans and chest X-rays, have demonstrated remarkable accuracy in identifying lung cancer nodules and distinguishing between malignant and benign lesions.Moreover, AI-driven approaches can assist in predicting patient outcomes and guiding personalized treatment plans, potentially improving survival rates.In this study, a deep learning-based model has been developed that uses the X-ray image of the chest to predict whether a person is suffering from lung cancer.The developed deep learning model offers realtime analysis, decreases false positives and negatives, and increases diagnostic accuracy.Furthermore, by providing a user-friendly interface for medical image processing, it aims to supplement the knowledge of healthcare professionals and ultimately improve clinical decision-making.