Stop Losing Tracking: How to Use Matching to Reduce Unnecessary Refinements

Loss of tracking is one of the most frustrating challenges in clear aligner therapy, often leading to delayed results and unnecessary refinements. In this webinar, we will dive into how leveraging the Matching feature in SoftSmile VISION can help identify and address potential clinical pitfalls computationally.

Join Dr. Luca Galli to explore how computational matching can support more predictable treatment planning, help identify movement discrepancies before manufacturing, and reduce the risk of prolonged treatments and unnecessary refinements.

What We Will Cover

• The primary causes of tracking loss in complex aligner cases.
• How to use the Matching feature to proactively identify and address movement conflicts before manufacturing.
• Strategies to reduce refinement rates and avoid unnecessarily prolonged treatments.
• Best practices for integrating computational precision into your daily digital treatment planning.

About the speaker

Dr. Luca Galli is an orthodontist and Clinical Consultant at SoftSmile, specializing in digital orthodontics and clear aligner treatment planning.

He graduated from the National University of Cordoba, where he received an Honor Mention for achieving the best academic average in his class, and has continued his professional education in clear aligner therapy and digital dentistry. Passionate about sharing knowledge with his peers, he regularly teaches courses and speaks at congresses on digital dentistry.

His experience spans the full CAD/CAM and clear aligner workflow, combining clinical expertise with a strong understanding of digital production, operations, and process optimization. Throughout his career, he has contributed to building and scaling aligner workflows, developing clinical and operational protocols, and improving treatment planning processes.

Dr. Galli has reviewed more than 20,000 complex aligner cases, bringing extensive real-world experience to digital treatment planning. His work focuses on connecting clinical practice, technology, and operations to simplify complex workflows, improve efficiency, and support consistently high-quality treatment outcomes.