AIMC Topic: Radiography
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HKA-Net: clinically-adapted deep learning for automated measurement of hip-knee-ankle angle on lower limb radiography for knee osteoarthritis assessment.
Journal of orthopaedic surgery and research
Nov 20, 2024
BACKGROUND: Accurate measurement of the hip-knee-ankle (HKA) angle is essential for informed clinical decision-making in the management of knee osteoarthritis (OA). Knee OA is commonly associated with varus deformity, where the alignment of the knee ...
Comparative assessment of three AI platforms in answering USMLE Step 1 anatomy questions or identifying anatomical structures on radiographs.
Clinical anatomy (New York, N.Y.)
Nov 18, 2024
The application of artificial intelligence (AI) in education has gained great attention recently. Integration of AI tools in anatomy teaching is currently engaging researchers and academics worldwide. Several AI chatbots have been generated, the most...
Application of Machine Learning to Osteoporosis and Osteopenia Screening Using Hand Radiographs.
The Journal of hand surgery
Nov 16, 2024
PURPOSE: Fragility fractures associated with osteoporosis and osteopenia are a common cause of morbidity and mortality. Current methods of diagnosing low bone mineral density require specialized dual x-ray absorptiometry (DXA) scans. Plain hand radio...
Artificial intelligence in fracture detection on radiographs: a literature review.
Japanese journal of radiology
Nov 14, 2024
Fractures are one of the most common reasons of admission to emergency department affecting individuals of all ages and regions worldwide that can be misdiagnosed during radiologic examination. Accurate and timely diagnosis of fracture is crucial for...
Deep learning-based automated measurement of hip key angles and auxiliary diagnosis of developmental dysplasia of the hip.
BMC musculoskeletal disorders
Nov 13, 2024
OBJECTIVES: Anteroposterior pelvic radiographs remains the most widely employed method for diagnosing developmental dysplasia of the hip. This study aims to evaluate the accuracy of an artificial intelligence model in measuring angles in pelvic radio...
Can computer vision / artificial intelligence locate key reference points and make clinically relevant measurements on axillary radiographs?
International orthopaedics
Nov 12, 2024
PURPOSE: Computer vision and artificial intelligence (AI) offer the opportunity to rapidly and accurately interpret standardized x-rays. We trained and validated a machine learning tool that identified key reference points and determined glenoid retr...
A novel semi-supervised learning model based on pelvic radiographs for ankylosing spondylitis diagnosis reduces 90% of annotation cost.
Computers in biology and medicine
Nov 8, 2024
OBJECTIVE: Our study aims to develop a deep learning-based Ankylosing Spondylitis (AS) diagnostic model that achieves human expert-level performance using only a minimal amount of labeled samples for training, in regions with limited access to expert...
Development and accuracy of an artificial intelligence model for predicting the progression of hip osteoarthritis using plain radiographs and clinical data: a retrospective study.
BMC musculoskeletal disorders
Nov 8, 2024
BACKGROUND: Predicting the progression of hip osteoarthritis (OA) remains challenging, and no reliable predictive method has been established. This study aimed to develop an artificial intelligence (AI) model to predict hip OA progression via plain r...
Artificial intelligence tools trained on human-labeled data reflect human biases: a case study in a large clinical consecutive knee osteoarthritis cohort.
Scientific reports
Nov 5, 2024
Humans have been shown to have biases when reading medical images, raising questions about whether humans are uniform in their disease gradings. Artificial intelligence (AI) tools trained on human-labeled data may have inherent human non-uniformity. ...
HarDNet-based deep learning model for osteoporosis screening and bone mineral density inference from hand radiographs.
Bone
Nov 3, 2024
PURPOSE: Osteoporosis, affecting over 200 million individuals, often remains unrecognized and untreated, increasing the risk of fractures in older adults. Osteoporosis is typically diagnosed with bone mineral density (BMD) measured by dual-energy X-r...
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