# Application of Deep Learning to Jointly Assess Embryo Development to Improve Pregnancy Outcome of Embryo Transfer

> **NCT05671601** · — · UNKNOWN · sponsor: **The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School** · enrollment: 100 (estimated)

## Conditions studied

- Reproductive Medicine

## Interventions

- **DIAGNOSTIC_TEST:** Automatic picture recognition
- **DIAGNOSTIC_TEST:** Manual Assessment Group

## Key facts

- **NCT ID:** NCT05671601
- **Lead sponsor:** The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** UNKNOWN
- **Start date:** 2022-12-30
- **Primary completion:** 2023-12-15
- **Final completion:** 2024-06-15
- **Target enrollment:** 100 (ESTIMATED)
- **Last updated:** 2023-01-04


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT05671601

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT05671601, "Application of Deep Learning to Jointly Assess Embryo Development to Improve Pregnancy Outcome of Embryo Transfer". Retrieved via AI Analytics 2026-06-08 from https://api.ai-analytics.org/clinical/NCT05671601. Licensed CC0.

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