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Clinical research on recognition of capsule gastroscopy pictures and intelligent diagnosis using convolutional neural network system based on deep learning algorithm

Clinical research on recognition of capsule gastroscopy pictures and intelligent diagnosis using convolutional neural network system based on deep learning algorithm

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100045275
Enrollment
Unknown
Registered
2021-04-10
Start date
2021-05-01
Completion date
Unknown
Last updated
2021-11-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Disease of the stomach

Interventions

Gold Standard:Expert identification results
Index test:Capsule&#32
gastroscopy&#32
pictures&#32
and&#32
intelligent&#32
diagnosis&#32
using&#32
convolutional&#32
neural&#32
network&#32
system&#32
based&#32
on&#32
deep&#32
learning&#32
algorithm

Sponsors

Southern Medical University Southern Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1.Patients receiving capsule gastroscopy at nanfang hospital of southern medical university; 2.Regardless of age or gender; 3.The treatment time is January 1, 2016 solstice, December 31, 2020.

Exclusion criteria

Exclusion criteria: Prospective study stage (on January 1, 2019 to December 31, 2020) don't agree to sign the informed consent of the patients.

Design outcomes

Primary

MeasureTime frame
Accuracy of identifying lesions;Sensitivity to identify lesions;Identify the specificity of the lesion;Positive predictive value;Negative predictive value;—

Countries

China

Contacts

Public ContactLiu Side

Southern Medical University Southern Hospital

liuside2011@163.com+86 13902212459

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026