SoftSmile’s VISION Treatment Planning Software Now Features CBCT Integration


The new integration features AI-powered automation of the analysis process and improves visuals to offer orthodontists advanced treatment planning and evaluations.

SoftSmile’s VISION Treatment Planning Software Now Features CBCT Integration | Credit: © SoftSmile

SoftSmile’s VISION Treatment Planning Software Now Features CBCT Integration | Credit: © SoftSmile

3D CBCT imaging data of each patient’s unique anatomy can now be integrated into SoftSmile’s orthodontic treatments, the company announced, as CBCT analysis in its treatment planning software, VISION, becomes a part of creating customized treatment plans.

VISION’s CBCT offering features AI-powered automation designed to make it fast and easy for orthodontists to make informed treatment decisions with the 3D imaging data. The software's AI is based on neural networks that are specifically trained to identify and segment various structures using a large data set of CBCT scans. SoftSmile says this means orthodontists can now confidently create customized treatment plans with the advanced visualization and manipulation of 3D CBCT imaging data of each patient’s unique anatomy.

The neural networks are said to improve efficiency by decreasing the time it takes to process data and its learning capabilities boost performance, reducing the need for manual input and adjustments. In addition, its ability to identify complex patterns ensures precise segmentation and analysis, according to SoftSmile.

With the advanced visualization and analysis possible with VISION, practitioners can create highly customized treatment plans for an individual's specific anatomical features, extracted from CBCT images. Also, precise diagnosis results from CBCT images that provide highly detailed and accurate information about the patient's teeth and jaw structures with multiple layers of data to be analyzed. This leads to improved patient outcomes.

Additional benefits experienced with the integration of CBCT into VISION include:

  • Better Visuals: The highly detailed visuals surpass the capabilities of traditional 2-dimensional CT scans, helping orthodontists avoid errors and improve accuracy.
  • Better Treatment: CBCT images enable orthodontists to better understand their patients’ unique craniofacial structure, including tooth roots, bone structures, and soft tissues, empowering them to create more accurate and bespoke treatment plans, with smart collision and boundary control capabilities.
  • Enhanced Patient Communication: CBCT visualizations are extremely high quality and easy to understand. This helps clinicians better communicate with patients.

“SoftSmile has been developing its CBCT capabilities since its inception, leveraging years of expertise working with CBCT scans for advanced jaw and bone analysis. And now with the innovation that CBCT brings to orthodontic diagnostics, SoftSmile is answering the call by delivering superior imaging and analysis that will significantly improve the precision, efficiency, and effectiveness of orthodontic treatment planning and evaluation,” says Khamzat Asabaev, Founder and CEO at SoftSmile, in a press release this week.

This new integration adds to VISION’s existing visuals. The software is designed to make the entire preprocessing stage—from uploading patients date to preparing a model for setup—fast and intuitive and to offer clinicians powerful graphics that help to improve treatment results.

Related Videos
 Product Bites – September 22, 2023
Video Test Drive: Primescan Connect from Dentsply Sirona
 Product Bites – September 1, 2023
 Product Bites – August 11, 2023
Mastermind - Episode 28 - How Artificial Intelligence is Changing Dentistry
2023 Chicago Dental Society Midwinter Meeting, Interview with Sarah Sharfstein, MBA, Vice President, Category Development & Strategy, Aspen Dental
Greater New York Dental Meeting 2022: Interview with Mike Depascale, On Demand Orthodontist
Dental Product Insights: Midmark® Extraoral Imaging System (EOIS)
© 2023 MJH Life Sciences

All rights reserved.