# Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future—A systematic review

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-in-oral-squamous-cell-carcinoma-current-status-clinical/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rasheed Omobolaji Alabi,Omar Youssef,Matti Pirinen,Mohammed Elmusrati,Antti Mäkitie,Ilmo Leivo,Alhadi Almangush |
| Citations | 175 |
| DOI | 10.1016/j.artmed.2021.102060 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | http://hdl.handle.net/10138/342581 |
| OpenAlex ID | https://openalex.org/W3151286594 |
| PMID | 34001326 |
| Type | review |
| Year | 2021 |

## Paper authors

- [Rasheed Omobolaji Alabi](https://scholariq.org/researchers/rasheed-omobolaji-alabi/)
- [Mohammed Elmusrati](https://scholariq.org/researchers/mohammed-elmusrati/)
- [Alhadi Almangush](https://scholariq.org/researchers/alhadi-almangush/)

## Paper journal

- [Artificial Intelligence in Medicine](https://scholariq.org/journals/artificial-intelligence-in-medicine/)

## Paper primary topic

- [Head and Neck Cancer Studies](https://scholariq.org/topics/head-and-neck-cancer-studies/)

## Paper topics

- [Head and Neck Cancer Studies](https://scholariq.org/topics/head-and-neck-cancer-studies/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

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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.