# Artificial Intelligence in Minimally Invasive Surgery: Current State and Future Challenges

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/artificial-intelligence-in-minimally-invasive-surgery-current-state-and-future/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shintaro Arakaki,Shin Takenaka,Kimimasa Sasaki,Daichi Kitaguchi,Hiro Hasegawa,Nobuyoshi Takeshita,Mitsuhisa Takatsuki,Masaaki Ito |
| Citations | 14 |
| DOI | 10.31662/jmaj.2024-0175 |
| Fields | Medicine |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://doi.org/10.31662/jmaj.2024-0175 |
| OpenAlex ID | https://openalex.org/W4406187072 |
| PMID | 39926089 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Shin Takenaka](https://scholariq.org/researchers/shin-takenaka/)

## Paper journal

- [JMA Journal](https://scholariq.org/journals/jma-journal/)

## 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/)

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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.