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Event Details

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Lasers, Artificial Intelligence, and Bone Regeneration

Mar 25, 2025

Virtual

Details

Presenter: Dr. Allen Honigman and Dr. Sarah Balaster
Credits: 1 CEU
AGD Subject Code: 135
Webinar Begins: 3/25/25 7:00 PM ET
6:00 PM CT
4:00 PM PT

The combination of artificial intelligence (AI) and laser technology is revolutionizing the field of dentistry, providing clinicians with new diagnostics and treatment capabilities to combat the growing epidemic of periodontitis and peri-implantitis. Recent advances in AI, particularly in machine learning, can enhance traditional radiographs to provide critical information on tooth structure, bone levels and surrounding tissues for more accurate diagnosis and treatment planning recommendations. Meanwhile, laser technology with proven protocols is empowering clinicians to treat patients with previously hopeless dentition and implants faster and more comfortably than traditional methods and with remarkable results. Combined, these innovations are enhancing diagnostic accuracy, reducing human error, increasing patient acceptance, improving practice workflows and delivering more consistent patient outcomes. Attend this CE webinar and explore the many possibilities of AI in the measurement of bone levels before and after laser-assisted protocols, enabling objective evaluation of bone regeneration and tracking changes in periodontal health over time for patients.

During this CE webinar, we will

  • Identify opportunities for more accurate patient diagnosis and treatment outcomes with AI and laser technology implementation
  • Improve workflow from identification and segmentation of disease to new treatment opportunities for better patient outcomes
  • Increase case acceptance by more than 90% through more effective patient consultation methods that include AI-generated datasets and minimally invasive laser treatment options
  • Discuss the clinical indications, contraindications and advantages of laser-assisted treatment for periodontal and peri-implant disease compared with traditional methods

Register

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