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Aspen Dental

Aspen Dental improves treatment acceptance 12% with VideaHealth AI clinical platform across 1,100+ practices

Curated & reviewed by Peter Korpak, Founder & Chief Analyst, 100SignalsHow we verify
12%Treatment Acceptance Increase
1,100+Practices Covered
6 weeksRollout Duration

Vendor-reported figures — source: www.dental-tribune.com

Aspen Dental
Metric Before After Impact
Treatment Acceptance Rate +12% 12% increase in treatment acceptance
Practices Covered 1,100+ Network coverage expanded
Patient Intervention Timing Earlier in care pathway Patients accepting care before conditions progress

The Challenge

Aspen Dental sought to move beyond digital experimentation and establish AI as a standard clinical support tool across its 1,100+ supported practices. Dentists needed better ways to communicate findings to patients and ensure consistent diagnostic review across a large, distributed network.

The Solution

Aspen Dental completed a nationwide rollout of VideaHealth's clinical AI platform across more than 1,100 supported practices in six weeks, following many months of piloting and preparation. The platform integrates into existing radiographic workflows, adding AI-supported annotations to radiographs to help dentists show and explain findings to patients with greater visual clarity.

Results

Pilot practices observed a 12% increase in treatment acceptance following implementation. Earlier patient intervention was also noted, with patients accepting care before oral health conditions progressed. The rollout reinforced clinical consistency across the network while preserving full dentist autonomy over diagnosis and treatment planning.

Key Takeaways

  • Intentional implementation requires extensive piloting and workflow integration before scaling, not just software deployment.
  • AI-supported visual annotations improve patient understanding and trust, directly driving treatment acceptance.
  • Clear boundaries between AI as a support tool and dentist clinical autonomy are critical for authentic adoption at scale.

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Details

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Enterprise
Quality
Curated
Last verified
Jul 28, 2026

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