# The understandability and actionability of AI-generated information for patients with chronic kidney disease

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/the-understandability-and-actionability-of-ai-generated-information-for-patients/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Emi Furukawa,Tsuyoshi Okuhara,Hiroe Suzuki-Chiba,M. Liu,Hiroko Okada,Takahiro Kiuchi |
| Citations | 0 |
| DOI | 10.1016/j.pec.2026.109546 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W7128914819 |
| PMID | 41707517 |
| Type | article |
| Year | 2026 |

## Paper authors

- [Emi Furukawa](https://scholariq.org/researchers/emi-furukawa/)
- [M. Liu](https://scholariq.org/researchers/m-liu/)
- [Tsuyoshi Okuhara](https://scholariq.org/researchers/tsuyoshi-okuhara/)
- [Hiroko Okada](https://scholariq.org/researchers/hiroko-okada/)
- [Takahiro Kiuchi](https://scholariq.org/researchers/takahiro-kiuchi/)

## Paper funders

- [Japan Society for the Promotion of Science](https://scholariq.org/funders/japan-society-for-the-promotion-of-science/)

## Paper journal

- [Patient Education and Counseling](https://scholariq.org/journals/patient-education-and-counseling/)

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

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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.