External validation of deep learning algorithms for radiologic diagnosis: a systematic review
Purpose To assess generalizability of published deep learning (DL) algorithms for radiologic
diagnosis. Materials and Methods In this systematic review, the PubMed database was …
diagnosis. Materials and Methods In this systematic review, the PubMed database was …
[HTML][HTML] Deep learning for chest X-ray analysis: A survey
E Çallı, E Sogancioglu, B van Ginneken… - Medical Image …, 2021 - Elsevier
Recent advances in deep learning have led to a promising performance in many medical
image analysis tasks. As the most commonly performed radiological exam, chest …
image analysis tasks. As the most commonly performed radiological exam, chest …
Association of artificial intelligence–aided chest radiograph interpretation with reader performance and efficiency
Importance The efficient and accurate interpretation of radiologic images is paramount.
Objective To evaluate whether a deep learning–based artificial intelligence (AI) engine used …
Objective To evaluate whether a deep learning–based artificial intelligence (AI) engine used …
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 …
Commercially available chest radiograph AI tools for detecting airspace disease, pneumothorax, and pleural effusion
L Lind Plesner, FC Müller, MW Brejnebøl, LC Laustrup… - Radiology, 2023 - pubs.rsna.org
Background Commercially available artificial intelligence (AI) tools can assist radiologists in
interpreting chest radiographs, but their real-life diagnostic accuracy remains unclear …
interpreting chest radiographs, but their real-life diagnostic accuracy remains unclear …
Deep learning for pneumothorax diagnosis: a systematic review and meta-analysis
T Sugibayashi, SL Walston… - European …, 2023 - Eur Respiratory Soc
Background Deep learning (DL), a subset of artificial intelligence (AI), has been applied to
pneumothorax diagnosis to aid physician diagnosis, but no meta-analysis has been …
pneumothorax diagnosis to aid physician diagnosis, but no meta-analysis has been …
The rise of artificial intelligence reading of chest X-rays for enhanced TB diagnosis and elimination
C Geric, ZZ Qin, CM Denkinger, SV Kik… - … of Tuberculosis and …, 2023 - ingentaconnect.com
We provide an overview of the latest evidence on computer-aided detection (CAD) software
for automated interpretation of chest radiographs (CXRs) for TB detection. CAD is a useful …
for automated interpretation of chest radiographs (CXRs) for TB detection. CAD is a useful …
[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 …