Public articles linked to the same research event.
arXiv The work proposes OPGAgent, a multi-tool dental agent planned by GPT-5.2 under the ReAct paradigm that orchestrates hierarchical evidence gathering, a specialized toolbox, and a consensus subagent, together with OPG-Bench, a structured-report protocol built on (Location, Field, Value) triples derived from real clinical reports; on OPG-Bench, comprising 1,009 anonymized OPGs and 5,219 VQA pairs, OPGAgent reaches 42.3% exact-match F1, a 49.7% aggregate score, 43.1% precision and 4.89 false positives per case, and leads MMOral-OPG at 62.53% accuracy.
The work proposes OPGAgent, a multi-tool dental agent planned by GPT-5.2 under the ReAct paradigm that orchestrates hierarchical evidence gathering, a specialized toolbox, and a consensus subagent, together with OPG-Bench, a structured-report protocol built on (Location, Field, Value) triples derived from real clinical reports; on OPG-Bench, comprising 1,009 anonymized OPGs and 5,219 VQA pairs, OPGAgent reaches 42.3% exact-match F1, a 49.7% aggregate score, 43.1% precision and 4.89 false positives per case, and leads MMOral-OPG at 62.53% accuracy.
The work proposes OPGAgent, a multi-tool dental agent planned by GPT-5.2 under the ReAct paradigm that orchestrates hierarchical evidence gathering, a specialized toolbox, and a consensus subagent, together with OPG-Bench, a structured-report protocol built on (Location, Field, Value) triples derived from real clinical reports; on OPG-Bench, comprising 1,009 anonymized OPGs and 5,219 VQA pairs, OPGAgent reaches 42.3% exact-match F1, a 49.7% aggregate score, 43.1% precision and 4.89 false positives per case, and leads MMOral-OPG at 62.53% accuracy.
The work proposes OPGAgent, a multi-tool dental agent planned by GPT-5.2 under the ReAct paradigm that orchestrates hierarchical evidence gathering, a specialized toolbox, and a consensus subagent, together with OPG-Bench, a structured-report protocol built on (Location, Field, Value) triples derived from real clinical reports; on OPG-Bench, comprising 1,009 anonymized OPGs and 5,219 VQA pairs, OPGAgent reaches 42.3% exact-match F1, a 49.7% aggregate score, 43.1% precision and 4.89 false positives per case, and leads MMOral-OPG at 62.53% accuracy.