Artificial intelligence: Reducing inconsistency in the surgical residency application review process - 21/11/24

Abstract |
The incorporation of artificial intelligence (AI) into the general surgery residency recruitment process holds great promise for overcoming limitations inherent to traditional application review methods. This study assesses the consistency of AI, particularly ChatGPT, in evaluating medical student performance evaluation (MSPE) letters in comparison to experienced human reviewers. While the results suggest that ChatGPT demonstrates greater consistency in grading than human reviewers, AI still has its limitations. This underscores the necessity for careful refinement and consideration in its implementation. While AI presents opportunities to enhance residency selection procedures, further research is imperative to fully grasp its capabilities and implications.
El texto completo de este artículo está disponible en PDF.Highlights |
• | We were able to create a successful grading rubric that ChatGPT was able to interpret. |
• | ChatGPT graded MSPEs with less variation in day to day scores compared to human reviewers. |
• | With proper programming and fine-tuning, AI may be a consistent and reliable grading mechanism. |
Esquema
Vol 238
Artículo 115816- décembre 2024 Regresar al númeroBienvenido a EM-consulte, la referencia de los profesionales de la salud.
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