Artificial intelligence in emergency radiology: where are we going?

M Cellina, M Cè, G Irmici, V Ascenti, E Caloro… - Diagnostics, 2022 - mdpi.com
Emergency Radiology is a unique branch of imaging, as rapidity in the diagnosis and
management of different pathologies is essential to saving patients' lives. Artificial …

CT and MRI of Gastrointestinal Stromal Tumours: New Trends and Perspectives

M Barat, A Pellat, A Dohan, C Hoeffel… - Canadian …, 2024 - journals.sagepub.com
Gastrointestinal stromal tumours (GISTs) are defined as mesenchymal tumours of the
gastrointestinal tract that express positivity for CD117, which is a c-KIT proto-oncogene …

Artificial intelligence for X-ray scaphoid fracture detection: a systematic review and diagnostic test accuracy meta-analysis

M Kraus, R Anteby, E Konen, I Eshed, E Klang - European Radiology, 2024 - Springer
Objectives Scaphoid fractures are usually diagnosed using X-rays, a low-sensitivity
modality. Artificial intelligence (AI) using Convolutional Neural Networks (CNNs) has been …

How AI may transform musculoskeletal imaging

A Guermazi, P Omoumi, M Tordjman, J Fritz, R Kijowski… - Radiology, 2024 - pubs.rsna.org
While musculoskeletal imaging volumes are increasing, there is a relative shortage of
subspecialized musculoskeletal radiologists to interpret the studies. Will artificial intelligence …

Potential strength and weakness of artificial intelligence integration in emergency radiology: A review of diagnostic utilizations and applications in patient care …

M Fathi, R Eshraghi, S Behzad, A Tavasol… - Emergency …, 2024 - Springer
Artificial intelligence (AI) and its recent increasing healthcare integration has created both
new opportunities and challenges in the practice of radiology and medical imaging. Recent …

French community grid for the evaluation of radiological artificial intelligence solutions (DRIM France Artificial Intelligence Initiative)

D Guenoun, M Zins, P Champsaur… - Diagnostic and …, 2024 - Elsevier
Purpose The purpose of this study was to validate a national descriptive and analytical grid
for artificial intelligence (AI) solutions in radiology. Materials and methods The RAND-UCLA …

Clinical impact of AI in radiology department management: A systematic review

E Buijs, E Maggioni, F Mazziotta, F Lega… - La radiologia medica, 2024 - Springer
Purpose Artificial intelligence (AI) has revolutionized medical diagnosis and treatment.
Breakthroughs in diagnostic applications make headlines, but AI in department …

Detection and severity quantification of pulmonary embolism with 3D CT data using an automated deep learning-based artificial solution

A Djahnine, C Lazarus, M Lederlin, S Mulé… - Diagnostic and …, 2024 - Elsevier
Purpose The purpose of this study was to propose a deep learning-based approach to
detect pulmonary embolism and quantify its severity using the Qanadli score and the right-to …

Radiologist worklist reprioritization using artificial intelligence: impact on report turnaround times for CTPA examinations positive for acute pulmonary embolism

K Batra, Y Xi, S Bhagwat, A Espino… - American Journal of …, 2023 - Am Roentgen Ray Soc
BACKGROUND. In patients with acute pulmonary embolism (PE), timely intervention (eg,
initiation of anticoagulation) is critical for optimizing clinical outcomes. OBJECTIVE. The …

Added value of an artificial intelligence algorithm in reducing the number of missed incidental acute pulmonary embolism in routine portal venous phase chest CT

E Langius-Wiffen, PA de Jong… - European …, 2024 - Springer
Objectives The purpose of this study was to evaluate the incremental value of artificial
intelligence (AI) compared to the diagnostic accuracy of radiologists alone in detecting …