AIMC Topic: Radiography

Clear Filters Showing 631 to 640 of 1088 articles

Classification and Visualisation of Normal and Abnormal Radiographs; A Comparison between Eleven Convolutional Neural Network Architectures.

Sensors (Basel, Switzerland) Aug 9, 2021
This paper investigates the classification of radiographic images with eleven convolutional neural network (CNN) architectures (). The CNNs were used to classify a series of wrist radiographs from the Stanford Musculoskeletal Radiographs (MURA) datas...
Neural Networks, Computer Radiography
View on PubMed DOI

Artificial intelligence in radiography: Where are we now and what does the future hold?

Radiography (London, England : 1995) Aug 8, 2021
OBJECTIVES: This paper will outline the status and basic principles of artificial intelligence (AI) in radiography along with some thoughts and suggestions on what the future might hold. While the authors are not always able to separate the current s...
Software Humans Prospective Studies Forecasting Artificial Intelligence Radiography
View on PubMed DOI

Artificial intelligence in orthopedic implant model classification: a systematic review.

Skeletal radiology Aug 5, 2021
Although artificial intelligence models have demonstrated high accuracy in identifying specific orthopedic implant models from imaging, which is an important and time-consuming task, the scope of prior works and performance of prior models have not b...
Artificial Intelligence Algorithms Humans Orthopedics ROC Curve Radiography
View on PubMed DOI

Can AI distinguish a bone radiograph from photos of flowers or cars? Evaluation of bone age deep learning model on inappropriate data inputs.

Skeletal radiology Aug 5, 2021
OBJECTIVE: To evaluate the behavior of a publicly available deep convolutional neural network (DCNN) bone age algorithm when presented with inappropriate data inputs in both radiological and non-radiological domains.
Radiography Flowers Neural Networks, Computer Child Deep Learning Humans Automobiles
View on PubMed DOI

Computer-aided diagnosis with a convolutional neural network algorithm for automated detection of urinary tract stones on plain X-ray.

BMC urology Aug 5, 2021
BACKGROUND: Recent increased use of medical images induces further burden of their interpretation for physicians. A plain X-ray is a low-cost examination that has low-dose radiation exposure and high availability, although diagnosing urolithiasis usi...
Radiographic Image Interpretation, Computer-Assisted Datasets as Topic Adolescent Radiography Urinary Calculi Male Middle Aged Diagnosis, Computer-Assisted Deep Learning Adult Sensitivity and Specificity Aged Aged, 80 and over Humans Neural Networks, Computer Female
View on PubMed DOI

BERT for the Processing of Radiological Reports: An Attention-based Natural Language Processing Algorithm.

Academic radiology Aug 4, 2021
Algorithms Natural Language Processing Radiography Humans Radiology
View on PubMed DOI

Deep learning in knee imaging: a systematic review utilizing a Checklist for Artificial Intelligence in Medical Imaging (CLAIM).

European radiology Aug 4, 2021
PURPOSE: Our purposes were (1) to explore the methodologic quality of the studies on the deep learning in knee imaging with CLAIM criterion and (2) to offer our vision for the development of CLAIM to assure high-quality reports about the application ...
Humans Artificial Intelligence Radiography Retrospective Studies Knee Joint Deep Learning Checklist
View on PubMed DOI

Assessment of MRI technologists in acceptance and willingness to integrate artificial intelligence into practice.

Radiography (London, England : 1995) Aug 4, 2021
INTRODUCTION: The integration of AI in medical imaging has tremendous exponential growth, especially in image production, image processing and image interpretation. It is expected that radiographers working across all imaging modalities have adequate...
Allied Health Personnel Magnetic Resonance Imaging Humans Radiography Artificial Intelligence Radiology
View on PubMed DOI

Can deep learning classify stroke subtypes from chest X-rays?

EBioMedicine Aug 4, 2021
X-Rays Humans Radiography Deep Learning Stroke
View on PubMed DOI

Artificial Intelligence in PET: An Industry Perspective.

PET clinics Aug 3, 2021
Artificial intelligence (AI) has significant potential to positively impact and advance medical imaging, including positron emission tomography (PET) imaging applications. AI has the ability to enhance and optimize all aspects of the PET imaging chai...
Positron-Emission Tomography Image Processing, Computer-Assisted Humans Radiography Artificial Intelligence
View on PubMed DOI
Popular Topics
Recent Journals