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 …
management of different pathologies is essential to saving patients' lives. Artificial …
CT and MRI of Gastrointestinal Stromal Tumours: New Trends and Perspectives
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 …
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
Objectives Scaphoid fractures are usually diagnosed using X-rays, a low-sensitivity
modality. Artificial intelligence (AI) using Convolutional Neural Networks (CNNs) has been …
modality. Artificial intelligence (AI) using Convolutional Neural Networks (CNNs) has been …
How AI may transform musculoskeletal imaging
While musculoskeletal imaging volumes are increasing, there is a relative shortage of
subspecialized musculoskeletal radiologists to interpret the studies. Will artificial intelligence …
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 …
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 …
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 …
for artificial intelligence (AI) solutions in radiology. Materials and methods The RAND-UCLA …
Clinical impact of AI in radiology department management: A systematic review
Purpose Artificial intelligence (AI) has revolutionized medical diagnosis and treatment.
Breakthroughs in diagnostic applications make headlines, but AI in department …
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 …
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
BACKGROUND. In patients with acute pulmonary embolism (PE), timely intervention (eg,
initiation of anticoagulation) is critical for optimizing clinical outcomes. OBJECTIVE. The …
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 …
intelligence (AI) compared to the diagnostic accuracy of radiologists alone in detecting …