# Automated deep-neural-network surveillance of cranial images for acute neurologic events

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/automated-deep-neural-network-surveillance-of-cranial-images-for-acute/

## Facts

| Field | Value |
| --- | --- |
| Author Names | J. Titano,Marcus A. Badgeley,Javin Schefflein,Margaret Pain,Andres Su,Michael Cai,Nathaniel Swinburne,John R. Zech,Jun Kim,Joshua B. Bederson,J Mocco,Burton P. Drayer,Joseph Lehár,Samuel K. Cho,Anthony Costa,Eric K. Oermann |
| Citations | 466 |
| DOI | 10.1038/s41591-018-0147-y |
| Fields | Engineering,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2885688423 |
| PMID | 30104767 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Samuel K. Cho](https://scholariq.org/researchers/samuel-k-cho/)
- [Jun Kim](https://scholariq.org/researchers/jun-kim/)

## Paper journal

- [Nature Medicine](https://scholariq.org/journals/nature-medicine/)

## Paper primary topic

- [Autopsy Techniques and Outcomes](https://scholariq.org/topics/autopsy-techniques-and-outcomes/)

## Paper topics

- [Autopsy Techniques and Outcomes](https://scholariq.org/topics/autopsy-techniques-and-outcomes/)
- [Medical Imaging and Analysis](https://scholariq.org/topics/medical-imaging-and-analysis/)
- [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.