# Artificial Intelligence and Machine Learning in Prediction of Surgical Complications: Current State, Applications, and Implications

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/artificial-intelligence-and-machine-learning-in-prediction-of-surgical/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Abbas M. Hassan,Aashish Rajesh,Malke Asaad,Jonas A. Nelson,J. Henk Coert,Babak J. Mehrara,Charles E. Butler |
| Citations | 131 |
| DOI | 10.1177/00031348221101488 |
| Fields | Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://dspace.library.uu.nl/handle/1874/455579 |
| OpenAlex ID | https://openalex.org/W4280505635 |
| PMID | 35562124 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Jonas A. Nelson](https://scholariq.org/researchers/jonas-a-nelson/)

## Paper journal

- [The American Surgeon](https://scholariq.org/journals/the-american-surgeon/)

## Paper primary topic

- [Cardiac, Anesthesia and Surgical Outcomes](https://scholariq.org/topics/cardiac-anesthesia-and-surgical-outcomes/)

## Paper topics

- [Cardiac, Anesthesia and Surgical Outcomes](https://scholariq.org/topics/cardiac-anesthesia-and-surgical-outcomes/)
- [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/)

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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.