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Evaluation of Use of Diagnostic AI for Lung Cancer in Practice

NCT03780582 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 15

Last updated 2019-07-23

No results posted yet for this study

Summary

This study investigates ways of improving radiologists performance of the classification of CT-scans as cancerous or non-cancerous. Participants interact with an AI to classify CT-scans under three different conditions.

Conditions

Interventions

BEHAVIORAL

AI-human interaction

Exploring what kinds of AI-human interaction improve radiologists detection accuracy.

Sponsors & Collaborators

  • Ensemble Group Holdings, LLC

    lead INDUSTRY

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Model
CROSSOVER

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2018-12-14
Primary Completion
2019-12-15
Completion
2019-12-15

Countries

  • Hong Kong

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03780582 on ClinicalTrials.gov