Effects of Expert-Determined Reference Standards in Evaluating the Diagnostic Performance of a Deep Learning Model: A Malignant Lung Nodule Detection Task on Chest Radiographs

Diagnostic effect of artificial intelligence solution for referable thoracic abnormalities on chest radiography: a multicenter respiratory outpatient diagnostic cohort study

(2022) Kwang Nam Jin et al.   EUROPEAN RADIOLOGY

AI in health and medicine

(2022) Pranav Rajpurkar et al.   NATURE MEDICINE

Comparative diagnostic accuracy studies with an imperfect reference standard – a comparison of correction methods

(2021) Chinyereugo M. Umemneku Chikere et al.   BMC Medical Research Methodology

Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CT

(2021) Kiran Vaidhya Venkadesh et al.   RADIOLOGY

Added Value of Deep Learning–based Detection System for Multiple Major Findings on Chest Radiographs: A Randomized Crossover Study

(2021) Jinkyeong Sung et al.   RADIOLOGY

Deep Learning for Detection of Pulmonary Metastasis on Chest Radiographs

(2021) Eui Jin Hwang et al.   RADIOLOGY

Assessing the Accuracy of a Deep Learning Method to Risk Stratify Indeterminate Pulmonary Nodules

(2020) Pierre P. Massion et al.   AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE

Differentiation of Benign from Malignant Pulmonary Nodules by Using a Convolutional Neural Network to Determine Volume Change at Chest CT

(2020) Yoshiharu Ohno et al.   RADIOLOGY

Development and clinical application of deep learning model for lung nodules screening on CT images

(2020) Sijia Cui et al.   Scientific Reports

Clinical Validation of a Deep Learning Algorithm for Detection of Pneumonia on Chest Radiographs in Emergency Department Patients with Acute Febrile Respiratory Illness

(2020) Jae Hyun Kim et al.   Journal of Clinical Medicine

Performance of a Deep Learning Algorithm Compared with Radiologic Interpretation for Lung Cancer Detection on Chest Radiographs in a Health Screening Population

(2020) Jong Hyuk Lee et al.   RADIOLOGY

Interobserver agreement issues in radiology

(2020) M. Benchoufi et al.   Diagnostic and Interventional Imaging

An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy Classification

(2019) Shiwen Shen et al.   EXPERT SYSTEMS WITH APPLICATIONS

How to Read Articles That Use Machine Learning

(2019) Yun Liu et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Diagnostic test evaluation methodology: A systematic review of methods employed to evaluate diagnostic tests in the absence of gold standard – An update

(2019) Chinyereugo M. Umemneku Chikere et al.   PLoS One

Deep Convolutional Neural Network–based Software Improves Radiologist Detection of Malignant Lung Nodules on Chest Radiographs

(2019) Yongsik Sim et al.   RADIOLOGY

Chest Radiograph Interpretation with Deep Learning Models: Assessment with Radiologist-adjudicated Reference Standards and Population-adjusted Evaluation

(2019) Anna Majkowska et al.   RADIOLOGY

Deep Learning for Chest Radiograph Diagnosis in the Emergency Department

(2019) Eui Jin Hwang et al.   RADIOLOGY

Highly accurate model for prediction of lung nodule malignancy with CT scans

(2018) Jason L. Causey et al.   Scientific Reports

Artificial Intelligence and Radiology: What Will the Future Hold?

(2018) Bernard F. King   Journal of the American College of Radiology

Development and Validation of Deep Learning–based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs

(2018) Ju Gang Nam et al.   RADIOLOGY

Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

(2017) Babak Ehteshami Bejnordi et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification

(2017) Wei Shen et al.   PATTERN RECOGNITION

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Absence of Pathological Proof of Cancer Associated with Improved Outcomes in Early-Stage Lung Cancer

(2016) Talha Shaikh et al.   Journal of Thoracic Oncology

STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration

(2016) Jérémie F Cohen et al.   BMJ Open

Use of Expert Panels to Define the Reference Standard in Diagnostic Research: A Systematic Review of Published Methods and Reporting

(2013) Loes C. M. Bertens et al.   PLOS MEDICINE