Deep learning for pneumothorax diagnosis: a systematic review and meta-analysis

T Sugibayashi, SL Walston… - European …, 2023 - publications.ersnet.org
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 …

[PDF][PDF] A review on the use of artificial intelligence in fracture detection

A Bhatnagar, AL Kekatpure, VR Velagala, A Kekatpure - Cureus, 2024 - cureus.com
Artificial intelligence (AI) simulates intelligent behavior using computers with minimum
human intervention. Recent advances in AI, especially deep learning, have made significant …

Machine learning augmented interpretation of chest X-rays: a systematic review

HK Ahmad, MR Milne, QD Buchlak, N Ektas… - Diagnostics, 2023 - mdpi.com
Limitations of the chest X-ray (CXR) have resulted in attempts to create machine learning
systems to assist clinicians and improve interpretation accuracy. An understanding of the …

[HTML][HTML] Nonradiology health care professionals significantly benefit from AI assistance in emergency-related chest radiography interpretation

J Rudolph, C Huemmer, A Preuhs, G Buizza, BF Hoppe… - Chest, 2024 - Elsevier
Background Chest radiographs (CXRs) are still of crucial importance in primary diagnostics,
but their interpretation poses difficulties at times. Research Question Can a convolutional …

[HTML][HTML] Frequency of missed findings on chest radiographs (CXRs) in an international, multicenter study: application of AI to reduce missed findings

P Kaviani, MK Kalra, SR Digumarthy, RV Gupta… - Diagnostics, 2022 - mdpi.com
Background: Missed findings in chest X-ray interpretation are common and can have serious
consequences. Methods: Our study included 2407 chest radiographs (CXRs) acquired at …

Independent evaluation of the accuracy of 5 artificial intelligence software for detecting lung nodules on chest X-rays

K Arzamasov, Y Vasilev, M Zelenova… - … Imaging in Medicine …, 2024 - pmc.ncbi.nlm.nih.gov
Background The integration of artificial intelligence (AI) into medicine is growing, with some
experts predicting its standalone use soon. However, skepticism remains due to limited …

[PDF][PDF] Методология тестирования и мониторинга программного обеспечения на основе технологий искусственного интеллекта для медицинской диагностики

ЮА Васильев, АВ Владзимирский… - …, 2023 - jdigitaldiagnostics.com
АННОТАЦИЯ Обоснование. Мировая сумма инвестиций в компании по разработке
программного обеспечения на основе технологий искусственного интеллекта для …

Methodology for testing and monitoring artificial intelligence-based software for medical diagnostics

YA Vasiliev, AV Vlazimirsky… - Digital …, 2023 - jdigitaldiagnostics.com
BACKGROUND: The global amount of investment in companies develo** artificial
intelligence (AI)-based software technologies for medical diagnostics reached $80 million in …

A Review on the Use of Artificial Intelligence in Fracture Detection

B Aayushi, AL Kekatpure, VR Velagala, K Aashay - Cureus, 2024 - search.proquest.com
Artificial intelligence (AI) simulates intelligent behavior using computers with minimum
human intervention. Recent advances in AI, especially deep learning, have made significant …

[PDF][PDF] Frequency of Missed Findings on Chest Radiographs (CXRs) in an International, Multicenter Study: Application of AI to Reduce Missed Findings. Diagnostics …

P Kaviani, MK Kalra, SR Digumarthy, RV Gupta… - 2022 - academia.edu
Background: Missed findings in chest X-ray interpretation are common and can have serious
consequences. Methods: Our study included 2407 chest radiographs (CXRs) acquired at …