# Artificial Intelligence-Driven Radiomics in Head and Neck Cancer: Current Status and Future Prospects

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/artificial-intelligence-driven-radiomics-in-head-and-neck-cancer-current-status/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rasheed Omobolaji Alabi,Mohammed Elmusrati,Ilmo Leivo,Alhadi Almangush,Antti Mäkitie |
| Citations | 57 |
| DOI | 10.1016/j.ijmedinf.2024.105464 |
| Fields | Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.1016/j.ijmedinf.2024.105464 |
| OpenAlex ID | https://openalex.org/W4395053818 |
| PMID | 38728812 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Rasheed Omobolaji Alabi](https://scholariq.org/researchers/rasheed-omobolaji-alabi/)

## Paper journal

- [International Journal of Medical Informatics](https://scholariq.org/journals/international-journal-of-medical-informatics/)

## Paper primary topic

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

## Paper topics

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Head and Neck Cancer Studies](https://scholariq.org/topics/head-and-neck-cancer-studies/)

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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.