Opportunities, Risks, and Future Directions of AI in Pulmonary Medicine

The rapid advancement of AI transforms modern healthcare, introducing new approaches to disease detection, diagnosis, treatment planning, and patient management. In the field of pulmonary medicine, AI technologies improve the analysis of medical imaging, predicting respiratory conditions while supporting clinical decision-making with greater speed and accuracy. From early detection of lung cancer to monitoring chronic respiratory diseases, AI can enhance patient outcomes while reducing the burden on healthcare systems. However, the integration of AI into pulmonary care also presents important challenges, including concerns related to data privacy, algorithmic bias, ethics, and clinical reliability. Understanding both the opportunities and risks associated with AI may promote safe, effective, and equitable advancements in pulmonary medicine. Opportunities, Risks, and Future Directions of AI in Pulmonary Medicine examines AI in pulmonary medicine, with a focus on specialty-specific applications, opportunities, risks, legal implications, and future directions. It explores cross-cutting themes, including ethics, data governance, liability, and global equity. This book covers topics such as medical technologies, risk management, and personalized medicine, and is a useful resource for medical and healthcare professionals, engineers, academicians, researchers, and scientists.