Take a look at the technology and process improvements DIBS Ai has recently introduced to simplify and lower the cost of digital indirect bonding without changing your existing bracket prescription preferences.
See the overall process, digital case planning, workflow processes, doctor preference flexibility, costs, and in-office printing with Asiga.
A recording of this webinar is available to watch on demand.
Steven Gardner, President/Founder, OrthoSelect, LLC
Steven is an industry leader with 28 years of experience in orthodontics and has successfully started three orthodontic companies. His largest company, OrthoSelect, LLC was founded in 2004. He transitioned OrthoSelect into a fully digital organization in 2009.
In 2013, Steven began initial software development for the Digital Indirect Bonding System (DIBS) and continues to head the software development team today. During this time, he also led a four-year research and development project exploring the validity of 3D printers and print resins for digital bonding applications. This resulted in dozens of hardware advancements and critical progress in software development. Most recently Steven has launched the all new DIBS AI platform which features 46 unique algorithms to automate, simplify and decrease the time needed for full case setups with ultra precise bracket placement and 3D printed transfer trays.
Ryan Williams, VP of Sales, OrthoSelect, LLC
Ryan is responsible for worldwide sales of the DIBS AI digital indirect bonding platform. He has an educational background in finance combined with an MBA and has grown various software companies to dominate their respective markets. Ryan excels at understanding business requirements and how technology can be used effectively and efficiently to meet those requirements. In his current role at OrthoSelect, Ryan has overseen the rapid growth and adoption of DIBS AI by orthodontists since its introduction in 2020. Key to that growth has been educating orthodontists on how the precision bracket placement offered by DIBS AI reduces patient treatment costs by 25%.