Mentions
Extended reach
Total likes
Video views
All 5 dated mentions so far are from Nov 2025.
AI synopsis
The discussions reflect a generally positive view with mentions of YOLOv3's performance, such as its success in identifying advanced caries stages, while also noting limitations in early detection. Words like 'promising,' 'feasible,' and phrases emphasizing potential or room for improvement indicate a cautious optimism that aligns with the moderate scores assigned.
Most discussions acknowledge the study’s promising results and potential usefulness in dental diagnostics.
Participants show moderate curiosity, interested in how AI models like YOLOv3 can assist in radiograph analysis.
Comments include some references to the methodology and implications, but lack deep technical debate.
Overall, the discussions recognize the potential influence of the research but do not suggest immediate transformative change.
This study assessed the feasibility of YOLOv3 to detect and classify dental caries on bitewing radiographs using the ICCMS™ radiographic scoring system. Watch on YT: https://t.co/PUtNixEyrr
DOI https://t.co/HMOfC7r0JE
We assessed the feasibility of YOLOv3 to detect and classify dental caries on bitewing radiographs using the ICCMS radiographic scoring system. The model showed promising results, especially for advanced lesions, but…
We assessed the feasibility of YOLOv3 to detect and classify dental caries on bitewing radiographs using the ICCMS radiographic scoring system under two IoU thresholds. The model performed well in identifying advanced…
RT @Dentalai_pt: This study assessed the feasibility of YOLOv3 to detect and classify dental caries on bitewing radiographs using the ICCMS…
DOI https://t.co/HMOfC7r0JE
This study assessed the feasibility of YOLOv3 to detect and classify dental caries on bitewing radiographs using the ICCMS™ radiographic scoring system. Watch on YT: https://t.co/PUtNixEyrr
https://doi.org/10.1007/s00784-022-04801-6 using a deep convolutional neural network-based software. Caries 28. Panyarak W, Wantanajittikul K, Suttapak W et ...
DA