# Integrating AI and ML in Myelodysplastic Syndrome Diagnosis: State-of-the-Art and Future Prospects

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/integrating-ai-and-ml-in-myelodysplastic-syndrome-diagnosis-state-of-the-art-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Amgad Mohamed Elshoeibi,Amgad Mohamed Elshoeibi,Ahmed Badr,Basel Elsayed,Omar Metwally,Raghad Mohamed Elshoeibi,Mohamed Elhadary,Ahmed Mohamed Elshoeibi,Ahmed Mohamed Elshoeibi,Mohamed Amro Attya,Fatima Khadadah,Awni Alshurafa,Ahmad Alhuraiji,Mohamed A. Yassin |
| Citations | 18 |
| DOI | 10.3390/cancers16010065 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2072-6694/16/1/65/pdf?version=1703215827 |
| OpenAlex ID | https://openalex.org/W4390109740 |
| PMID | 38201493 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Mohamed Elhadary](https://scholariq.org/researchers/mohamed-elhadary/)

## Paper journal

- [Cancers](https://scholariq.org/journals/cancers/)

## Paper primary topic

- [Acute Myeloid Leukemia Research](https://scholariq.org/topics/acute-myeloid-leukemia-research/)

## Paper topics

- [Acute Myeloid Leukemia Research](https://scholariq.org/topics/acute-myeloid-leukemia-research/)
- [Digital Imaging for Blood Diseases](https://scholariq.org/topics/digital-imaging-for-blood-diseases/)
- [Hematological disorders and diagnostics](https://scholariq.org/topics/hematological-disorders-and-diagnostics/)

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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.