AI Assisted Chest X-Ray Analysis for Pulmonary

This research paper explores the use of artificial intelligence (AI) in chest Xray analysis to detect pulmonary diseases. Chest X-ray analysis aided by AI has the potential to increase the precision and effectiveness of diagnoses, improving patient outcomes. We conducted a thorough literature review and developed our own methodology for AI assisted chest X-ray analysis, using machine learning algorithms to train models on large datasets of chest X-rays. Our results show that AI-assisted analysis can effectively detect pulmonary diseases such as pneumonia, tuberculosis, and lung cancer with high accuracy. However, concerns around the ethical implications of AI in healthcare and the potential impact on the role of radiologists remain. Overall, this research provides insights into the potential benefits and challenges of AI-assisted chest Xray analysis for pulmonary disease detection and highlights opportunities for future research in this field. Whereas the dataset of 61 people having habits of smoking or drinking of different age group has been selected to use. The dataset is imported and executed further with the help of python.