# Automated Performance Metrics and Machine Learning Algorithms to Measure Surgeon Performance and Anticipate Clinical Outcomes in Robotic Surgery

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/automated-performance-metrics-and-machine-learning-algorithms-to-measure-surgeon/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Andrew J. Hung,Jian Chen,Inderbir S. Gill |
| Citations | 196 |
| DOI | 10.1001/jamasurg.2018.1512 |
| Fields | Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.ncbi.nlm.nih.gov/pmc/articles/9084629 |
| OpenAlex ID | https://openalex.org/W2809241522 |
| PMID | 29926095 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Andrew J. Hung](https://scholariq.org/researchers/andrew-j-hung/)
- [Jian Chen](https://scholariq.org/researchers/jian-chen/)

## Paper primary topic

- [Surgical Simulation and Training](https://scholariq.org/topics/surgical-simulation-and-training/)

## Paper topics

- [Surgical Simulation and Training](https://scholariq.org/topics/surgical-simulation-and-training/)
- [Cardiac, Anesthesia and Surgical Outcomes](https://scholariq.org/topics/cardiac-anesthesia-and-surgical-outcomes/)
- [Colorectal Cancer Surgical Treatments](https://scholariq.org/topics/colorectal-cancer-surgical-treatments/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.