ERS Congress 2025: highlights from the Clinical Techniques, Imaging and Endoscopy Assembly

Area of Science:

• Medical technology
• Pulmonology
• Diagnostic imaging

Background:

• Early detection of lung cancer is critical for improved patient outcomes.
• Advancements in imaging and interventional pulmonology are needed to enhance diagnostic capabilities.
• Standardized training is essential for the effective implementation of new medical technologies.

Purpose of the Study:

• To highlight innovations in respiratory medicine, focusing on AI and robotic bronchoscopy for lung cancer detection.
• To discuss the role of dual-energy CT and cardiac MRI in pulmonary vascular imaging.
• To review progress in evidence-based, standardized ultrasound training.

Main Methods:

• Review of recent advancements in AI and robotic bronchoscopy for diagnostic procedures.
• Analysis of dual-energy CT and cardiac MRI applications in pulmonary vascular imaging.
• Assessment of current evidence-based training methodologies for ultrasound in respiratory medicine.

Main Results:

• AI and robotic bronchoscopy demonstrate significant potential in improving early lung cancer detection rates.
• Dual-energy CT and cardiac MRI offer enhanced visualization of pulmonary vasculature, aiding in diagnosis and management.
• Progress in standardized ultrasound training is facilitating the adoption of new diagnostic tools.

Conclusions:

• Technological innovations, including AI, robotics, and advanced imaging, are transforming respiratory medicine.
• These advancements promise to improve diagnostic accuracy and patient care in pulmonology.
• Standardized training is crucial for the successful integration of these innovations into clinical practice.