# Deep Learning Algorithm for Traumatic Splenic Injury Detection and Sequential Localization

> **NCT05643612** · — · COMPLETED · sponsor: **Chang Gung Memorial Hospital** · enrollment: 600 (actual)

## Conditions studied

- Spleen Injury
- Machine Learning

## Interventions

- **DIAGNOSTIC_TEST:** Deep learning algorithm

## Key facts

- **NCT ID:** NCT05643612
- **Lead sponsor:** Chang Gung Memorial Hospital
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** COMPLETED
- **Start date:** 2022-02-01
- **Primary completion:** 2022-11-01
- **Final completion:** 2022-11-01
- **Target enrollment:** 600 (ACTUAL)
- **Last updated:** 2022-12-09


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT05643612

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT05643612, "Deep Learning Algorithm for Traumatic Splenic Injury Detection and Sequential Localization". Retrieved via AI Analytics 2026-06-16 from https://api.ai-analytics.org/clinical/NCT05643612. Licensed CC0.

---

*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*