# KDAIDL: Kidney Disease Detection Using Artificial Intelligence and Deep Learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/kdaidl-kidney-disease-detection-using-artificial-intelligence-and-deep-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mohammad Mazedul Huq Talukdar,Mohammad Alamgir Hossain,Mohammed Hassan Osman,Yagoub Abbker Adam,Abdelnasser Abdelwakil Metwally,Yasir Ahmad,Md. Mohsin Kabir |
| Citations | 1 |
| DOI | 10.1109/iccit64611.2024.11022101 |
| Fields | Computer Science,Health Professions |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4411172075 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

- [Yagoub Abbker Adam](https://scholariq.org/researchers/yagoub-abbker-adam/)

## Paper primary topic

- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

## Paper topics

- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [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.