Accuracy and Reliability of AI Models in Emergency Myocardial Infarction Education
İbrahim Korkmaz · 2026
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Description
İbrahim Korkmaz reports a 2026 journal article grading three AI chatbots as teachers about heart attacks for emergency patients. A heart attack, acute myocardial infarction, is a leading killer. The author gave ChatGPT-4o, Claude 3.7 Sonnet, and Gemini Advanced 2.0 Flash the same case and thirty patient-style questions. Four senior emergency doctors scored the answers.
ChatGPT-4o earned the highest accuracy score and an excellent rating on one quality scale. Claude 3.7 did best on treatment questions and wrote the most readable answers across all measures. All three models were judged good quality with minor shortcomings, and reliability scores did not differ significantly. The author concludes the tools show promise but still need physician oversight.
Catalog record
| CREATOR | İbrahim Korkmaz |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 44209 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |