Among the AI options in the dental space, Diagnocat sets a new standard as the only AI-powered service that can analyze 3D dental images. It literally adds a new dimension to AI, increasing the already phenomenal diagnostic value of 3D imaging. From a CBCT, Diagnocat creates an AI-based report that highlights anatomical areas, common findings, and previous treatments for each individual tooth, checking for 35 conditions in 2D images, bitewings/FMX/panoramic, and over 65 conditions on CBCT images including rare pathology and non-dental findings like sinus and bone structure. The many clinical insights gained for the clinician and patients are practice-changing.
Diagnocat AI can detect more pathologies than its 2D AI counterparts, such as periapical lesions, periodontal bone loss, signs of dental caries, open margins, overhangs, impactions, and defects of previous endodontic treatment. And yet another differentiator – Diagnocat AI has the ability to work in the primary dentition, which the 2D applications do not.
For patient communication, Diagnocat AI reports are structured and focused. The diagnostic presentation is ready in a few minutes, so the patient doesn’t have to wait for weeks to get the report from the other specialist. In some Canadian provinces, an oral radiologist reading is mandated by law, and interestingly, some oral radiologists are actually using Diagnocat for the exact same efficiency reasons that dentists use it for. The patient-engagement section shows concerns and specific anatomic features with a detailed and easily understood description of each tooth. It is as if the patient is getting a second opinion without having to travel to another practice.
For collaboratioon between GPs and specialists, Diagnocat provides an interpretation of the patient’s issues, creating constructive discussion between the clinical team. Diagnocat can generate reports specific to different specialties to help planning and improve treatment flow even more. Reports can be shared among referring dentists, offering colleagues vital information for success of their treatment and providing an incredible team-building environment.
Practices can lose treatment opportunities because of clerical errors or the lack of the patient’s inertia. Diagnocat’s managerial report can analyze the patient’s last three radiography sessions and indicate possible treatments or missed opportunities. Then, your team can give patients a call to complete treatment.
The future holds even more seamless treatment opportunities with Diagnocat AI. It is currently being integrated with several practice management systems and intraoral scanners. Diagnocat AI founder and CEO, Dr. Alex Sanders, said, “We’re constantly working on the precision of the algorithms, new user-friendly software designs, even an app that is soon to be released.” He added that the creators of Diagnocat are working to bring sister company, Segmentron, to market – a treatment planning solution that combines 3D images, intraoral scans, and digital photographs to create a virtual patient to be used for presentations as well as treatment planning for orthodontics, oral surgery, and implants. I’ll keep you posted on the launch of that extraordinary debut as well.
Dentists face a lot of competition in this tech-savvy and social media-focused world. Patients want to be amazed, and feel their dentist is using cutting-edge technologies for their benefit. Diagnocat AI certainly is a differentiator. There’s nothing artificial about having the intelligence to add this technology to your practice.
About the Author
Lou Shuman is the CEO of Cellerant Consulting Group, dentistry’s leading corporate incubator and accelerator. He is a venturer in-residence at Harvard’s i-Lab, co-founder of LightForce Orthodontics, a member of the Oral Health advisory board and founder of the Cellerant Best of Class Technology Awards. He was selected in 2021 by Global Summits Institute one of the World’s Top 100 Doctors
