Artificial intelligence: A critical review of applications for lung nodule and lung cancer
C de Margerie-Mellon, G Chassagnon - Diagnostic and Interventional …, 2023 - Elsevier
Artificial intelligence (AI) is a broad concept that usually refers to computer programs that
can learn from data and perform certain specific tasks. In the recent years, the growth of …
can learn from data and perform certain specific tasks. In the recent years, the growth of …
Deep learning applied to automatic disease detection using chest x‐rays
DA Moses - Journal of Medical Imaging and Radiation …, 2021 - Wiley Online Library
Deep learning (DL) has shown rapid advancement and considerable promise when applied
to the automatic detection of diseases using CXRs. This is important given the widespread …
to the automatic detection of diseases using CXRs. This is important given the widespread …
Toward generalizability in the deployment of artificial intelligence in radiology: role of computation stress testing to overcome underspecification
The clinical deployment of artificial intelligence (AI) applications in medical imaging is
perhaps the greatest challenge facing radiology in the next decade. One of the main …
perhaps the greatest challenge facing radiology in the next decade. One of the main …
The impact of artificial intelligence on the reading times of radiologists for chest radiographs
Whether the utilization of artificial intelligence (AI) during the interpretation of chest
radiographs (CXRs) would affect the radiologists' workload is of particular interest …
radiographs (CXRs) would affect the radiologists' workload is of particular interest …
AI improves nodule detection on chest radiographs in a health screening population: a randomized controlled trial
Background The impact of artificial intelligence (AI)–based computer-aided detection (CAD)
software has not been prospectively explored in real-world populations. Purpose To …
software has not been prospectively explored in real-world populations. Purpose To …
Weakly Supervised Deep Learning in Radiology
Deep learning (DL) is currently the standard artificial intelligence tool for computer-based
image analysis in radiology. Traditionally, DL models have been trained with strongly …
image analysis in radiology. Traditionally, DL models have been trained with strongly …
Possible bias in supervised deep learning algorithms for CT lung nodule detection and classification
Simple Summary Artificial Intelligence (AI) algorithms can assist clinicians in their daily tasks
by automatically detecting and/or classifying nodules in chest CT scans. Bias of such …
by automatically detecting and/or classifying nodules in chest CT scans. Bias of such …
Diagnostic performance of artificial intelligence approved for adults for the interpretation of pediatric chest radiographs
HJ Shin, NH Son, MJ Kim, EK Kim - Scientific reports, 2022 - nature.com
Artificial intelligence (AI) applied to pediatric chest radiographs are yet scarce. This study
evaluated whether AI-based software developed for adult chest radiographs can be used for …
evaluated whether AI-based software developed for adult chest radiographs can be used for …
[HTML][HTML] Use of artificial intelligence-based software as medical devices for chest radiography: a position paper from the Korean Society of Thoracic Radiology
Chest radiography (CR) is the primary examination for the evaluation and follow-up of
various thoracic diseases. The number of examinations is steadily on the increase, as is …
various thoracic diseases. The number of examinations is steadily on the increase, as is …
Multicentre external validation of a commercial artificial intelligence software to analyse chest radiographs in health screening environments with low disease …
Objectives To externally validate the performance of a commercial AI software program for
interpreting CXRs in a large, consecutive, real-world cohort from primary healthcare centres …
interpreting CXRs in a large, consecutive, real-world cohort from primary healthcare centres …