AI assisted reader evaluation in acute CT head interpretation (AI-REACT): protocol for a multireader multicase study.

ABSTRACT:

Introduction

A non-contrast CT head scan (NCCTH) is the most common cross-sectional imaging investigation requested in the emergency department. Advances in computer vision have led to development of several artificial intelligence (AI) tools to detect abnormalities on NCCTH. These tools are intended to provide clinical decision support for clinicians, rather than stand-alone diagnostic devices. However, validation studies mostly compare AI performance against radiologists, and there is relative paucity of evidence on the impact of AI assistance on other healthcare staff who review NCCTH in their daily clinical practice.

Methods and analysis

A retrospective data set of 150 NCCTH will be compiled, to include 60 control cases and 90 cases with intracranial haemorrhage, hypoden

SUBMITTER: Fu H 

PROVIDER: S-EPMC10862304 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature