Can ChatGPT compete with Diagnocat, Pearl, or even DentalMonitoring in radiographic diagnosis?

As a digital orthodontist, I’m always exploring new tools that could support clinical decision-making.

This time, I put ChatGPT to the test with a simple panoramic radiograph and a precisely formulated clinical prompt, as if I were consulting a human colleague. The results were impressive:

✅ It successfully identified:

• Apical radiolucencies consistent with chronic granulomas.

• Old metallic restorations with potential overcontouring.

• Generalized horizontal bone loss with signs of periodontal disease.

• External root resorption in specific areas.

  
  

🧠 What’s remarkable is that all of this was generated by ChatGPT — not by a specialized radiology AI, nor a cloud-based platform, but by a language model processing an image and a detailed clinical question.

📌 This test made me realize:

• Tools like Diagnocat, Pearl, or even DentalMonitoring may not always be necessary for useful prediagnosis.

• The key lies in prompting like a thinking clinician, not a casual user.

• This AI can also be adapted to track aligner progress (as DentalMonitoring does), detect scan inconsistencies, and even assist in biomechanical validation.

  
  

I’m sharing the full CHATGPT PDF report here, including the image and ChatGPT’s diagnostic output:

Orthodontic_Radiographic_Report_GilbertoSalas_EN.pdf

Descargar PDF • 1.31MB

—

🧭 Is the future of dental AI about having the "best platform" — or simply about knowing how to ask the right question?