AIMC Topic: Radiography

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Spine surgeon versus AI algorithm full-length radiographic measurements: a validation study of complex adult spinal deformity patients.

Spine deformity Feb 9, 2024
INTRODUCTION: Spinal measurements play an integral role in surgical planning for a variety of spine procedures. Full-length imaging eliminates distortions that can occur with stitched images. However, these images take radiologists significantly long...
Spinal Curvatures Humans Middle Aged Radiography Male Observer Variation Lordosis Spine Female Reproducibility of Results Adult Artificial Intelligence Algorithms
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Application of deep learning for automated diagnosis and classification of hip dysplasia on plain radiographs.

BMC musculoskeletal disorders Feb 9, 2024
BACKGROUND: Hip dysplasia is a condition where the acetabulum is too shallow to support the femoral head and is commonly considered a risk factor for hip osteoarthritis. The objective of this study was to develop a deep learning model to diagnose hip...
Acetabulum Radiography Hip Dislocation Hip Dislocation, Congenital Retrospective Studies Deep Learning Pilot Projects Humans
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Beyond regulatory compliance: evaluating radiology artificial intelligence applications in deployment.

Clinical radiology Feb 8, 2024
The implementation of artificial intelligence (AI) applications in routine practice, following regulatory approval, is currently limited by practical concerns around reliability, accountability, trust, safety, and governance, in addition to factors s...
Artificial Intelligence Reproducibility of Results Radiology Radiography Humans
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Deep learning based detection of osteophytes in radiographs and magnetic resonance imagings of the knee using 2D and 3D morphology.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society Feb 7, 2024
In this study, we investigated the discriminative capacity of knee morphology in automatic detection of osteophytes defined by the Osteoarthritis Research Society International atlas, using X-ray and magnetic resonance imaging (MRI) data. For the X-r...
Male Middle Aged Deep Learning Female Aged Radiography Knee Joint Tibia Imaging, Three-Dimensional Magnetic Resonance Imaging Humans Osteophyte Femur Osteoarthritis, Knee
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Explainable deep-neural-network supported scheme for tuberculosis detection from chest radiographs.

BMC medical imaging Feb 5, 2024
Chest radiographs are examined in typical clinical settings by competent physicians for tuberculosis diagnosis. However, this procedure is time consuming and subjective. Due to the growing usage of machine learning techniques in applied sciences, res...
Mass Screening Humans Radiography Machine Learning Tuberculosis Bayes Theorem
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Automated detection and classification of the rotator cuff tear on plain shoulder radiograph using deep learning.

Journal of shoulder and elbow surgery Feb 3, 2024
BACKGROUND: The diagnosis of rotator cuff tears (RCTs) using radiographs alone is clinically challenging; thus, the utility of deep learning algorithms based on convolutional neural networks has been remarkable in the field of medical imaging recogni...
Aged Adult Sensitivity and Specificity Retrospective Studies Humans ROC Curve Female Radiography Middle Aged Male Rotator Cuff Injuries Deep Learning
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[Not Available].

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin Jan 31, 2024
Artificial Intelligence Radiography Cardiac Imaging Techniques Diagnostic Imaging Radiology
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Assessment of accuracy and reproducibility of cephalometric identification performed by 2 artificial intelligence-driven tracing applications and human examiners.

Oral surgery, oral medicine, oral pathology and oral radiology Jan 22, 2024
OBJECTIVE: To assess the accuracy and reproducibility of cephalometric landmark identification performed by 2 artificial intelligence (AI)-driven applications (CefBot and WebCeph) and human examiners.
Skull Reproducibility of Results Humans Radiography Artificial Intelligence Cephalometry
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Automatic Segmentation and Radiologic Measurement of Distal Radius Fractures Using Deep Learning.

Clinics in orthopedic surgery Jan 15, 2024
BACKGROUND: Recently, deep learning techniques have been used in medical imaging studies. We present an algorithm that measures radiologic parameters of distal radius fractures using a deep learning technique and compares the predicted parameters wit...
Wrist Fractures Humans Radiography Radius Deep Learning Bone Plates Radius Fractures
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A scoping review of educational programmes on artificial intelligence (AI) available to medical imaging staff.

Radiography (London, England : 1995) Jan 12, 2024
INTRODUCTION: Medical imaging is arguably the most technologically advanced field in healthcare, encompassing a range of technologies which continually evolve as computing power and human knowledge expand. Artificial Intelligence (AI) is the next fro...
Diagnostic Imaging Curriculum Humans Educational Status Artificial Intelligence Radiography
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