# Assessment of a Digital Symptom Checker Tool's Accuracy in Suggesting Reproductive Health Conditions: Clinical Vignettes Study

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/assessment-of-a-digital-symptom-checker-tool-s-accuracy-in-suggesting/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Kimberly Peven,Aidan Wickham,Octavia Wilks,Yusuf Cem Kaplan,Andrei Marhol,Saddif Ahmed,Ryan Bamford,Adam Cunningham,Carley Prentice,András Meczner,Matthew Fenech,Stephen Gilbert,Anna Klepchukova,Sonia Ponzo,Liudmila Zhaunova |
| Citations | 8 |
| DOI | 10.2196/46718 |
| Fields | Health Professions,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://mhealth.jmir.org/2023/1/e46718/PDF |
| OpenAlex ID | https://openalex.org/W4388478893 |
| PMID | 38051574 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Anna Klepchukova](https://scholariq.org/researchers/anna-klepchukova/)

## 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/)
- [Electronic Health Records Systems](https://scholariq.org/topics/electronic-health-records-systems/)
- [Mobile Health and mHealth Applications](https://scholariq.org/topics/mobile-health-and-mhealth-applications/)

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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.