How Imaging Drives Case Acceptance and Growth

Dental imaging was supposed to make practices more efficient. Instead, many practices are trapped in disconnected systems, expensive servers, vendor lock in, and siloed AI tools that do not communicate with each other.

For more than three decades, imaging technology evolved from film to digital to cloud, but proprietary systems created silos instead of integration. Today, practices face rising IT costs, workflow friction, inconsistent diagnoses, lower case acceptance, and limitations when scaling across locations

In this session, Scott Leune is joined by Albert Kim, Co-Founder and CEO of SOTA Cloud, to discuss how imaging can function as a true clinical production platform rather than a technical burden. This webinar explores how to eliminate vendor lock in, remove on premise server costs, integrate AI pathology detection directly into clinical workflows, and connect imaging to patient engagement, referrals, and analytics within one unified system

What You Will Learn

• How legacy imaging systems create hidden costs through hardware lock in and IT maintenance
• Why disconnected systems reduce staff productivity and slow workflows
• The financial burden of on premise servers and outsourced IT support
• How embedded AI pathology detection increases diagnostic consistency and case acceptance
• How visual AI findings improve patient trust and treatment acceptance
• Why multi location practices struggle with syncing, data access, and scalability
• How an open cloud platform eliminates silos and supports long term integration
• How unified analytics identify production gaps and revenue opportunities
• How imaging, AI, education, follow up, and analytics can operate as one connected clinical production system