# Artificial Intelligence-Assisted Surgery: Potential and Challenges

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/artificial-intelligence-assisted-surgery-potential-and-challenges/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sebastian Bodenstedt,Martin Wagner,Beat P. Müller‐Stich,Jürgen Weitz,Stefanie Speidel |
| Citations | 83 |
| DOI | 10.1159/000511351 |
| Fields | Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.ncbi.nlm.nih.gov/pmc/articles/7768095 |
| OpenAlex ID | https://openalex.org/W3095169666 |
| PMID | 33447600 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Sebastian Bodenstedt](https://scholariq.org/researchers/sebastian-bodenstedt/)

## Paper journal

- [Visceral Medicine](https://scholariq.org/journals/visceral-medicine/)

## 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/)
- [Surgical Simulation and Training](https://scholariq.org/topics/surgical-simulation-and-training/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

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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.