# Success Through Simplicity: What Other Artificial Intelligence Applications in Medicine Should Learn from History and ChatGPT

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/success-through-simplicity-what-other-artificial-intelligence-applications-in/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sam Sedaghat |
| Citations | 26 |
| DOI | 10.1007/s10439-023-03287-x |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://link.springer.com/content/pdf/10.1007/s10439-023-03287-x.pdf |
| OpenAlex ID | https://openalex.org/W4381137209 |
| PMID | 37332004 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Sam Sedaghat](https://scholariq.org/researchers/sam-sedaghat/)

## Paper journal

- [Annals of Biomedical Engineering](https://scholariq.org/journals/annals-of-biomedical-engineering/)

## 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/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

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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.