# Capability of GPT-4V(ision) in the Japanese National Medical Licensing Examination: Evaluation Study

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/capability-of-gpt-4v-ision-in-the-japanese-national-medical-licensing/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Takahiro Nakao,Soichiro Miki,Yuta Nakamura,Tomohiro Kikuchi,Yukihiro Nomura,Shouhei Hanaoka,T. Yoshikawa,Osamu Abe |
| Citations | 60 |
| DOI | 10.2196/54393 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://mededu.jmir.org/2024/1/e54393/PDF |
| OpenAlex ID | https://openalex.org/W4392702964 |
| PMID | 38470459 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Yukihiro Nomura](https://scholariq.org/researchers/yukihiro-nomura/)

## Paper journal

- [JMIR Medical Education](https://scholariq.org/journals/jmir-medical-education/)

## Paper primary topic

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

## Paper topics

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.