[HTML][HTML] 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 …

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 …

Toward generalizability in the deployment of artificial intelligence in radiology: role of computation stress testing to overcome underspecification

T Eche, LH Schwartz, FZ Mokrane… - Radiology: Artificial …, 2021 - pubs.rsna.org
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 …

[HTML][HTML] The impact of artificial intelligence on the reading times of radiologists for chest radiographs

HJ Shin, K Han, L Ryu, EK Kim - NPJ Digital Medicine, 2023 - nature.com
Whether the utilization of artificial intelligence (AI) during the interpretation of chest
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

JG Nam, EJ Hwang, J Kim, N Park, EH Lee, HJ Kim… - Radiology, 2023 - pubs.rsna.org
Background The impact of artificial intelligence (AI)–based computer-aided detection (CAD)
software has not been prospectively explored in real-world populations. Purpose To …

[HTML][HTML] 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 …

[HTML][HTML] Possible bias in supervised deep learning algorithms for CT lung nodule detection and classification

N Sourlos, J Wang, Y Nagaraj, P van Ooijen… - Cancers, 2022 - mdpi.com
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 …

[HTML][HTML] Use of artificial intelligence-based software as medical devices for chest radiography: a position paper from the Korean Society of Thoracic Radiology

EJ Hwang, JM Goo, SH Yoon, KS Beck… - Korean Journal of …, 2021 - ncbi.nlm.nih.gov
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 …

Multicentre external validation of a commercial artificial intelligence software to analyse chest radiographs in health screening environments with low disease …

C Kim, Z Yang, SH Park, SH Hwang, YW Oh… - European …, 2023 - Springer
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 …

[PDF][PDF] Lung cancer medical images classification using hybrid CNN-SVM

AY Saleh, CK Chin, V Penshie… - International Journal of …, 2021 - researchgate.net
Lung cancer is one of the leading causes of death in Malaysia and around the world [1]. In
2018, lung cancer had the highest percentage of new cases and deaths worldwide, by …