Evaluation of the clinical performance of an AI-based application for the automated analysis of chest X-rays

Evaluation of the clinical performance of an AI-based application for the automated analysis of chest X-rays

Abstract The AI-Rad Companion Chest X-ray (AI-Rad, Siemens Healthineers) is an artificial-intelligence based application for the analysis of chest X-rays. The purpose of the present study is to evaluate the performance of the AI-Rad. In total, 499 radiographs were retrospectively included. Radiograp...

Full description

Bibliographic Details
Main Authors:	Julius Henning Niehoff, Jana Kalaitzidis, Jan Robert Kroeger, Denise Schoenbeck, Jan Borggrefe, Arwed Elias Michael
Format:	Article
Language:	English
Published:	Nature Portfolio 2023-03-01
Series:	Scientific Reports
Online Access:	https://doi.org/10.1038/s41598-023-30521-2

Similar Items

Image-Quality Assessment of Polyenergetic and Virtual Monoenergetic Reconstructions of Unenhanced CT Scans of the Head: Initial Experiences with the First Photon-Counting CT Approved for Clinical Use
by: Arwed Elias Michael, et al.
Published: (2022-01-01)

Photon Counting CT Angiography of the Head and Neck: Image Quality Assessment of Polyenergetic and Virtual Monoenergetic Reconstructions
by: Arwed Elias Michael, et al.
Published: (2022-05-01)

Patient Comfort in Modern Computed Tomography: What Really Counts
by: Julius Henning Niehoff, et al.
Published: (2022-05-01)

Low-Dose High-Resolution Photon-Counting CT of the Lung: Radiation Dose and Image Quality in the Clinical Routine
by: Matthias Michael Woeltjen, et al.
Published: (2022-06-01)

Photon counting computed tomography of in-stent-stenosis in a phantom: Optimal virtual monoenergetic imaging in ultra high resolution
by: Arwed Elias Michael, et al.
Published: (2024-03-01)

Virtual Non-Contrast versus True Non-Contrast Computed Tomography: Initial Experiences with a Photon Counting Scanner Approved for Clinical Use
by: Julius Henning Niehoff, et al.
Published: (2021-12-01)

Clinical Low Dose Photon Counting CT for the Detection of Urolithiasis: Evaluation of Image Quality and Radiation Dose
by: Julius Henning Niehoff, et al.
Published: (2022-06-01)

Explainable-AI in Automated Medical Report Generation Using Chest X-ray Images
by: Saad Bin Ahmed, et al.
Published: (2022-11-01)

Clinical Low-Dose Photon-Counting CT for the Detection of Urolithiasis: Radiation Dose Reduction Is Possible without Compromising Image Quality
by: Julius Henning Niehoff, et al.
Published: (2023-01-01)

AI-based radiodiagnosis using chest X-rays: A review
by: Yasmeena Akhter, et al.
Published: (2023-04-01)

Diagnostic Image Quality of a Low-Field (0.55T) Knee MRI Protocol Using Deep Learning Image Reconstruction Compared with a Standard (1.5T) Knee MRI Protocol
by: Ingo Lopez Schmidt, et al.
Published: (2023-02-01)

AI-CenterNet CXR: An artificial intelligence (AI) enabled system for localization and classification of chest X-ray disease
by: Saleh Albahli, et al.
Published: (2022-08-01)

Creation and validation of a chest X-ray dataset with eye-tracking and report dictation for AI development
by: Alexandros Karargyris, et al.
Published: (2021-03-01)

Accurate auto-labeling of chest X-ray images based on quantitative similarity to an explainable AI model
by: Doyun Kim, et al.
Published: (2022-04-01)

Chest x-rays for medical students /
by: Clarke, Christopher, 1986-, et al.
Published: (2011)

Chest X-ray made easy /
by: Corne, Jonathan
Published: (2002)

A “Galactic” Chest X-ray
by: Cristiano Carbonelli, et al.
Published: (2021-05-01)

OSCE: Learning chest X-ray
by: Kundan Mittal, et al.
Published: (2019-01-01)

Cannon Balls on Chest X-Ray
by: Salim Khattak
Published: (2005-12-01)

Pseudoaneurysm of an intercostal artery: endovascular treatment with PK papyrus coronary stent to prevent spinal ischemia
by: Julius Niehoff, et al.
Published: (2021-02-01)

Automated AI Detection Tool for Ankle Fractures Using X-Rays and Smart Devices
by: Nour Nassour MD, et al.
Published: (2023-12-01)

An Extensive Survey of Machine Learning Based Approaches on Automated Pathology Detection in Chest X-Rays
by: Ravidu Suien Rammuni Silva, et al.
Published: (2021-01-01)

Chest X-rays and Lung Ultrasound Are Not Interchangeable in Intensive Care Practice
by: Stefan Schmidt, et al.
Published: (2023-12-01)

An International Non-Inferiority Study for the Benchmarking of AI for Routine Radiology Cases: Chest X-ray, Fluorography and Mammography
by: Kirill Arzamasov, et al.
Published: (2023-06-01)

CLINICAL SYMPTOMS AND CHEST X-RAY FINDINGS FOR EVALUATION OF CHEST X-RAY IN MANAGEMENT AND PREDICTION OF CLINICAL OUTCOME OF CONFIRM CASES OF COVID-19
by: Khawaja Muhammad Baqir Hassan, et al.
Published: (2020-12-01)

CLINICAL SYMPTOMS AND CHEST X-RAY FINDINGS FOR EVALUATION OF CHEST X-RAY IN MANAGEMENT AND PREDICTION OF CLINICAL OUTCOME OF CONFIRM CASES OF COVID-19
by: Khawaja Muhammad Baqir Hassan, et al.
Published: (2020-12-01)

Automated Detection of COVID-19 using Chest X-Ray Images and CT Scans through Multilayer- Spatial Convolutional Neural Networks
by: Muhammad Irfan Khattak, et al.
Published: (2021-05-01)

Concordance of chest x-ray with chest CT by body mass index
by: Thomas F. Heston, et al.
Published: (2023-03-01)

Can Chest Ultrasound Replace Chest X-ray in Thoracic Surgery?
by: Konstantinos Grapatsas, et al.
Published: (2022-08-01)

The COVIDTW study: Clinical predictors of COVID-19 mortality and a novel AI prognostic model using chest X-ray
by: Chih-Wei Wu, et al.
Published: (2023-03-01)

Fever and an abnormal chest X-ray during the COVID-19 pandemic
by: David Ruttens, et al.
Published: (2020-01-01)

Chest X ray: A systematic approach
by: K Kalaiyarasan, et al.
Published: (2022-01-01)

Approach to unequal hilum on chest X-ray
by: Supriya Sarkar, et al.
Published: (2013-01-01)

Inverted D-sign in chest X-ray
by: Kaushik Saha
Published: (2013-01-01)

Automated detection of COVID-19 through convolutional neural network using chest x-ray images.
by: Rubina Sarki, et al.
Published: (2022-01-01)

Automated detection of COVID-19 through convolutional neural network using chest x-ray images
by: Rubina Sarki, et al.
Published: (2022-01-01)

A novel interaction-based methodology towards explainable AI with better understanding of Pneumonia Chest X-ray Images
by: Shaw-Hwa Lo, et al.
Published: (2021-12-01)

COVID-19: chest X-rays to predict clinical outcomes
by: Pedro Paulo Teixeira e Silva Torres, et al.
Published: (2020-11-01)

Comparison of Chest X-ray and Clinical Findings in Trauma Patients after Chest Tube Removal
by: Ramyar Farzan, et al.
Published: (2018-07-01)

High Yield of Chest X-ray in the Follow-Up of Colorectal Cancer
by: Eline G. M. Steenhuis, et al.
Published: (2022-07-01)