Evaluation of Use of Diagnostic AI for Lung Cancer in Practice

Status Active, not recruiting

Clinical Trial 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.

Clinical Trial Description

The three conditions are as follows: "probabilistic classification", where the radiologist diagnoses scans using an AI cancer likelihood score; "classification plus detection", where the radiologist see detecting lung nodules in addition to the AI's probabilistic classification score before making her own examination of the CT-scan; and "classification with delayed detection", where the radiologist identifies regions of interest independently of the AI and then sees the AI's detected ROIs. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details

NCT number	NCT03780582
Study type	Interventional
Source	Ensemble Group Holdings, LLC
Contact
Status	Active, not recruiting
Phase	N/A
Start date	December 14, 2018
Completion date	December 15, 2019

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