Artificial intelligence is rapidly transforming the field of pulmonology through improved diagnostics and clinical decision-making. This session will focus on machine learning applications in respiratory medicine. Researchers will discuss AI-assisted imaging, predictive analytics, and digital healthcare solutions. Recent innovations in computational pulmonology will be highlighted.
Presentations will explore artificial intelligence applications in disease screening, prognosis, and treatment optimization. Participants will gain insights into automated image analysis and clinical decision-support systems. Case studies demonstrating real-world applications will also be discussed. Emerging technologies integrating AI into respiratory care will be presented.
The session will address challenges associated with data quality, ethical considerations, and implementation in clinical practice. Experts will discuss future opportunities in digital respiratory medicine. Collaborative initiatives among clinicians, engineers, and data scientists will be encouraged. This session aims to integrate advanced computational technologies into pulmonary healthcare.