Imaging for Early Detection in the Era of Artificial Intelligence

Explore the intersection of medical imaging and artificial intelligence in this 21-minute conference talk by Dr. Curtis P. Langlotz, Professor of Radiology and Biomedical Informatics Research at Stanford University Medical Center. Delve into the potential of AI and machine learning for early disease detection, focusing on applications in chest radiography, coronary disease, and breast cancer. Learn about advancements in image resolution, bone age assessment, and the importance of AI-ready data. Gain insights into the Medical Imaging Data Resource Center and its role in advancing AI-driven healthcare. Understand the evolving landscape of medical imaging and how AI is revolutionizing early detection techniques in the field of radiology.

Intro
Patient
AI
Machine Learning
Detecting Anomalies in Chest radiographs
Early Detection of Coronary Disease
Early Detection of Breast Cancer
Image Resolution
Bone Age
Medical Imaging Data Resource Center
Conclusion
AI Ready Data