# Afrocentric Trustworthy Framework for Improved Artificial Intelligence Powered Health Management Tool for Africans

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/afrocentric-trustworthy-framework-for-improved-artificial-intelligence-powered/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ayodeji Ibitoye,Makuochi Nkwo,Joseph Damilola Akinyemi,Khadijat Tope Ladoja |
| Citations | 3 |
| DOI | 10.1007/978-3-031-75674-0_5 |
| Fields | Health Professions,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://link.springer.com/content/pdf/10.1007/978-3-031-75674-0_5.pdf |
| OpenAlex ID | https://openalex.org/W4408013779 |
| Type | book-chapter |
| Year | 2025 |

## Paper authors

- [Joseph Damilola Akinyemi](https://scholariq.org/researchers/joseph-damilola-akinyemi/)

## 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/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

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