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TRUVACE RECORD VERSION
record: TRV-2026-1200
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-09-27T06:55:43.513929Z
status: published
lens: trace
sector: health
headline: Guideline Concordance of ChatGPT-Generated Responses on Antibiotic Prophylaxis in Endodontics
dek: Antibiotic prophylaxis decision-making in endodontics represents a core competency in dental education, requiring the integration of systemic risk assessment, guideline interpretation, and antimicrobial stewardship principles. Although artificial intelligence (AI) tools such as ChatGPT are increasingly accessed by students and clinicians for clinical guidance, their educational reliability in teaching evidence-based antibiotic prophylaxis remains unclear. This descriptive study evaluated the accuracy and guideli…
gain_title: ChatGPT-5 provided fully guideline-concordant answers in 10 of 17 endodontic antibiotic prophylaxis scenarios, performing best on classic teaching topics like infective endocarditis prophylaxis and antibiotic selection, dosage, and timing.
problem_title: ChatGPT-5 unnecessarily expanded prophylactic indications in 4 scenarios and disagreed with guidelines in 3 scenarios involving immunocompromised patients, creating educational risk for inappropriate antibiotic prescribing.
trace_subject: ChatGPT-5 guideline concordance for antibiotic prophylaxis in endodontics
gain_reading: ChatGPT-5 provided fully guideline-concordant answers in 10 of 17 endodontic antibiotic prophylaxis scenarios, performing best on classic teaching topics like infective endocarditis prophylaxis and antibiotic selection, dosage, and timing.
gain_evidence: ChatGPT demonstrated full agreement with expert, guideline-based recommendations in 10 of 17 scenarios (58.8%) | particularly in classical teaching domains such as infective endocarditis prophylaxis, antibiotic selection, dosage, and timing
problem_reading: ChatGPT-5 unnecessarily expanded prophylactic indications in 4 scenarios and disagreed with guidelines in 3 scenarios involving immunocompromised patients, creating educational risk for inappropriate antibiotic prescribing.
problem_evidence: Partial agreement was observed in four scenarios (23.5%), primarily due to unnecessary expansion of prophylactic indications | expanded recommendations in medically complex cases represented a potential educational risk for inappropriate antibiotic prescribing
quick_read: A descriptive study from September 2026 evaluated ChatGPT-5 on 17 endodontic antibiotic prophylaxis scenarios based on AHA, AAE, and ADA guidelines. An experienced endodontist rated each response, finding full agreement in 10 cases, partial agreement in 4, and disagreement in 3, with stronger performance on infective endocarditis prophylaxis and antibiotic selection, dosage, and timing.

The mixed results matter because students and clinicians increasingly consult AI for clinical guidance, and over-expansion of prophylaxis in medically complex patients could teach inappropriate prescribing and undermine antimicrobial stewardship, even though no response was deemed clinically unsafe. Uncertainty remains about generalizability beyond 17 scenarios and single-rater assessment.
limitation: Findings are limited to 17 predefined scenarios assessed by a single experienced endodontist and do not support conclusions about educational effectiveness or curricular implementation.
tag: Dual reading
key_points: Study tested 17 clinically relevant questions grounded in AHA, AAE, and ADA guidelines submitted to ChatGPT-5. | Responses were scored by an experienced endodontist on clinical correctness, guideline concordance, and educational risk using a five-point Likert scale. | Full agreement occurred in 58.8% of scenarios, partial agreement in 23.5% due to expanded indications, disagreement in 17.6% involving immunocompromised conditions. | No response was deemed clinically unsafe, but expanded recommendations were flagged as educational risk for inappropriate prescribing.
rundown: Researchers submitted 17 guideline-grounded endodontic questions to ChatGPT-5 and had an experienced endodontist rate responses for correctness, concordance, and educational risk, supplemented by qualitative analysis of indication expansion and reasoning depth.

Results showed 10 scenarios with full agreement, 4 with partial agreement linked to expanded indications, and 3 with disagreement centered on HIV with low CD4 counts and chemotherapy-related neutropenia, with no response judged clinically unsafe but with noted risk for teaching inappropriate use.
sources:
- peer_reviewed | Journal of Dental Education | https://doi.org/10.1002/jdd.70343 | 2026-09-23
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