Wire by Fusion42
Fusion42 Scout Raise
The Debrief & Outliers
Regulatory RadarWorkday Debrief · Mon 09:00 UTCSector Deep DiveWorkday Debrief · Tue 09:00 UTCGeo PulseWorkday Debrief · Wed 09:00 UTCOperating ConditionsWorkday Debrief · Thu 09:00 UTCWeekly BriefingWorkday Debrief · Fri 09:00 UTCWTF Happened This WeekSat 09:00 UTC · 3σ outliers
Benchmarks
Benchmarks HomeBy News TypeBy RegionBy Sector
AI WeeklyAbout

Switch product

Fusion42RaiseScoutWire

The Debrief & Outliers

All editionsRegulatory RadarWorkday Debrief · Mon 09:00 UTCSector Deep DiveWorkday Debrief · Tue 09:00 UTCGeo PulseWorkday Debrief · Wed 09:00 UTCOperating ConditionsWorkday Debrief · Thu 09:00 UTCWeekly BriefingWorkday Debrief · Fri 09:00 UTCWTF Happened This WeekSat 09:00 UTC · 3σ outliers

Database & benchmarks

Benchmarks HomeBy News TypeBy RegionBy SectorStories

Account

Sign in
← Back

Wire · opportunities

Accuracy of General-Use Multimodal AI Platforms for Pell and Gregory Classification of ...

3 September 2026 · By · Wire by Fusion42

Published

3 September 2026

Topic

opportunities

◆ Sectors

AI Frontier Models

◆ Source

Read at cureus.com →

◆ Verified

Fusion42 · 3 September 2026 · Fusion42 review

A 2025 study found that general-use AI models ChatGPT and Grok demonstrated poor accuracy (~20%) in classifying impacted mandibular third molars via Pell and Gregory system on radiographs compared to expert consensus, indicating these platforms are unreliable for independent clinical radiographic classification.

This Wire brief sits within Fusion42's coverage of AI Frontier Models.

◆ ◆ The Wire takeaway

You must not rely on ChatGPT or Grok for radiographic classification of impacted molars yet. Dental AI founders can focus on creating specialised models with higher accuracy to win clinical trust and adoption.

◆ Coverage

1 source · 3 Sep 2026

◆ Related on Wire

◆ Topics

AI Frontier Modelsai-accuracydental-imagingradiologyoral-surgerymedical-ai