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Assessing the accuracy of multiple-choice questions using different artificial intelligence-driven tools—an observational study

Year: 2025

Type: article

Source: Dentomaxillofacial Radiology

DOI: 10.1093/dmfr/twaf085

Author: Mohammed Najmuddin

Institution: Jazan University

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4417091043

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Cites: 22

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