# Patient Benefits in the Context of Sepsis-Related AI-Based Clinical Decision Support Systems: Scoping Review

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/patient-benefits-in-the-context-of-sepsis-related-ai-based-clinical-decision/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Pascal Raszke,Godwin Denk Giebel,Jürgen Wasem,Michael Adamzik,Hartmuth Nowak,Lars Palmowski,Philipp Heinz,Nina Timmesfeld,Marianne Tokic,Frank Michael Brunkhorst,Nikola Blase |
| Citations | 1 |
| DOI | 10.2196/76772 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.jmir.org/2026/1/e76772/PDF |
| OpenAlex ID | https://openalex.org/W7125687801 |
| PMID | 41587020 |
| Type | article |
| Year | 2026 |

## Paper authors

- [Pascal Raszke](https://scholariq.org/researchers/pascal-raszke/)

## Paper journal

- [Journal of Medical Internet Research](https://scholariq.org/journals/journal-of-medical-internet-research/)

## Paper primary topic

- [Sepsis Diagnosis and Treatment](https://scholariq.org/topics/sepsis-diagnosis-and-treatment/)

## Paper topics

- [Sepsis Diagnosis and Treatment](https://scholariq.org/topics/sepsis-diagnosis-and-treatment/)
- [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/)

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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.