Part 11/11:

The session illuminated the profound impact of AI in advancing medical imaging, showcasing sophisticated architectures like CNNs and capsule networks, and illustrating practical workflows through compelling case studies, particularly during the COVID-19 pandemic. While challenges remain—such as data scarcity, privacy issues, and model interpretability—the future remains promising. Continued collaboration between clinicians, data scientists, and policymakers will be essential to harness AI's full potential, ultimately leading to faster, more accurate, and more accessible healthcare worldwide.