Opportunities, Risks, and Future Directions of AI in Pulmonary Medicine. Este artículo no está disponible.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.

Rahul K. Patel is a seasoned cybersecurity and information systems management professional with extensive scholarly contributions highlight his thought leadership in AI, digital infrastructure, and secure system design. Dr. Patel’s research spans AI-driven digital literacy where he presents a framework for higher education and workforce collaboration in response to the AI revolution as well as studies on AI-based recommendation systems, such as an analysis of the accuracy of OTC medication suggestions generated by commercial AI platforms. He is the author of AI Frameworks and Tools for Software Development (2025), which provides a comprehensive exploration of how artificial intelligence can be strategically integrated into the software development lifecycle. His work also tackles security and privacy within emerging technologies: from leveraging clustering algorithms for predictive analytics in blockchain networks to exploring privacy-preserving architectures and cloud security fortified by distributed ledger technologies. With a PhD in Management of Information Systems, Dr. Patel serves as an Adjunct Industry Associate Professor at the Illinois Institute of Technology.