Imaging technologies are redefining how dermatology clinical trials are designed, executed, and measured. In this webinar, we’ll explore how tools like 3D imaging, and AI-powered analysis are enhancing endpoint objectivity, improving traditional scoring systems, and enabling more patient-centric outcomes.

We’ll review what regulators expect from imaging-based endpoints, including validation, standardization, and digital audit trails, We’ll also help sponsors understand how they can meet these requirements with confidence. Operationally, we’ll share lessons learned and best practices around site training, centralized image review, remote assessment workflows, and the integration of imaging with digital platforms.

We’ll also examine the evolving role of AI in dermatology trials – from lesion quantification to remote monitoring – emphasizing the importance of diverse datasets, robust validation, and regulatory acceptance.

If you’re looking to elevate your trial quality, this session will equip you with actionable strategies from the front lines of dermatology research.

• Understand how advanced imaging technologies (e.g., 3D imaging and AI) enhance objectivity and reliability in dermatology clinical trial endpoints.
• Gain insights into regulatory expectations for imaging-based endpoints, including validation, standardization, and data integrity requirements.

• Learn key operational best practices for implementing consistent imaging protocols across sites and managing centralized image review.

• Explore the opportunities and challenges of integrating AI in dermatology trials, including data diversity, validation, regulatory acceptance, and global data privacy considerations.