AIMC Topic: Radiography

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Prediction of body weight from chest radiographs using deep learning with a convolutional neural network.

Radiological physics and technology Jan 13, 2023
Accurate body weights are not necessarily available in routine clinical practice. This study aimed to investigate whether body weight can be predicted from chest radiographs using deep learning. Deep-learning models with a convolutional neural networ...
Humans Contrast Media Neural Networks, Computer Radiography Retrospective Studies Female Male Deep Learning
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Centralized contrastive loss with weakly supervised progressive feature extraction for fine-grained common thorax disease retrieval in chest x-ray.

Medical physics Jan 11, 2023
BACKGROUND: Medical images have already become an essential tool for the diagnosis of many diseases. Thus a large number of medical images are being generated due to the daily routine inspection. An efficient image-based disease retrieval system will...
Neural Networks, Computer Thorax X-Rays Algorithms Radiography
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[Interdisciplinary case discussions].

Radiologie (Heidelberg, Germany) Jan 11, 2023
BACKGROUND: Interdisciplinary case discussions, especially tumor conferences, represent a large part of the clinical radiologist's daily work. Radiology plays a key role in tumor conferences, since imaging findings have a direct influence on therapy ...
Radiologists Artificial Intelligence Communication Radiography Radiology Humans
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Ultrasound Signal Processing: From Models to Deep Learning.

Ultrasound in medicine & biology Jan 10, 2023
Medical ultrasound imaging relies heavily on high-quality signal processing to provide reliable and interpretable image reconstructions. Conventionally, reconstruction algorithms have been derived from physical principles. These algorithms rely on as...
Radiography Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Deep Learning Ultrasonography
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Transfer learning-based ensemble convolutional neural network for accelerated diagnosis of foot fractures.

Physical and engineering sciences in medicine Jan 10, 2023
The complex shape of the foot, consisting of 26 bones, variable ligaments, tendons, and muscles leads to misdiagnosis of foot fractures. Despite the introduction of artificial intelligence (AI) to diagnose fractures, the accuracy of foot fracture dia...
Deep Learning Fractures, Bone Radiography Neural Networks, Computer Artificial Intelligence Humans
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Clinician and computer: a study on doctors' perceptions of artificial intelligence in skeletal radiography.

BMC medical education Jan 10, 2023
BACKGROUND: Traumatic musculoskeletal injuries are a common presentation to emergency care, the first-line investigation often being plain radiography. The interpretation of this imaging frequently falls to less experienced clinicians despite well-es...
Artificial Intelligence Health Personnel Humans Decision Support Systems, Clinical Muscle, Skeletal Computers Physicians Radiography
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Radiology Education: Opportunities to Use Online Tools and Artificial Intelligence to Enhance the Experience.

AJR. American journal of roentgenology Jan 4, 2023
Radiology Artificial Intelligence Radiography Humans
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Development and Validation of a Deep Learning-Based Synthetic Bone-Suppressed Model for Pulmonary Nodule Detection in Chest Radiographs.

JAMA network open Jan 3, 2023
IMPORTANCE: Dual-energy chest radiography exhibits better sensitivity than single-energy chest radiography, partly due to its ability to remove overlying anatomical structures.
Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Deep Learning Radiography Male Humans Middle Aged Neural Networks, Computer
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Open issues for education in radiological research: data integrity, study reproducibility, peer-review, levels of evidence, and cross-fertilization with data scientists.

La Radiologia medica Dec 31, 2022
We are currently facing extraordinary changes. A harder and harder competition in the field of science is open in each country as well as in continents and worldwide. In this context, what should we teach to young students and doctors? There is a nee...
Artificial Intelligence Humans Reproducibility of Results Radiography Radiology Fertilization
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A deep learning model based on fusion images of chest radiography and X-ray sponge images supports human visual characteristics of retained surgical items detection.

International journal of computer assisted radiology and surgery Dec 30, 2022
PURPOSE: Although a novel deep learning software was proposed using post-processed images obtained by the fusion between X-ray images of normal post-operative radiography and surgical sponge, the association of the retained surgical item detectabilit...
X-Rays Foreign Bodies Deep Learning Radiography Humans
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