AIMC Topic: Radiography

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Artificial intelligence system for identification of false-negative interpretations in chest radiographs.

European radiology Feb 23, 2022
OBJECTIVES: To investigate the efficacy of an artificial intelligence (AI) system for the identification of false negatives in chest radiographs that were interpreted as normal by radiologists.
Middle Aged Radiography Radiologists Radiography, Thoracic Artificial Intelligence Humans Retrospective Studies
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Enhancing deep learning based classifiers with inpainting anatomical side markers (L/R markers) for multi-center trials.

Computer methods and programs in biomedicine Feb 22, 2022
BACKGROUND AND OBJECTIVE: The protocol for placing anatomical side markers (L/R markers) in chest radiographs varies from one hospital or department to another. However, the markers have strong signals that can be useful for deep learning-based class...
Radiography ROC Curve Area Under Curve Deep Learning
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Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 21, 2022
Chest X-ray becomes one of the most common medical diagnoses due to its noninvasiveness. The number of chest X-ray images has skyrocketed, but reading chest X-rays still have been manually performed by radiologists, which creates huge burnouts and de...
Lung Diseases Thorax Deep Learning X-Rays Humans Radiography
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COVID-19 mortality prediction in the intensive care unit with deep learning based on longitudinal chest X-rays and clinical data.

European radiology Feb 19, 2022
OBJECTIVES: We aimed to develop deep learning models using longitudinal chest X-rays (CXRs) and clinical data to predict in-hospital mortality of COVID-19 patients in the intensive care unit (ICU).
Radiography X-Rays Humans Intensive Care Units COVID-19 Deep Learning
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Is AI the Ultimate QA?

Journal of digital imaging Feb 15, 2022
We are among the many that believe that artificial intelligence will not replace practitioners and is most valuable as an adjunct in diagnostic radiology. We suggest a different approach to utilizing the technology, which may help even radiologists w...
Radiologists Diagnostic Imaging Radiology Humans Artificial Intelligence Radiography
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The Business of Artificial Intelligence in Radiology Has Little to Do With Radiologists.

Journal of the American College of Radiology : JACR Feb 15, 2022
Commerce Radiology Radiologists Radiography Humans Artificial Intelligence
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With or without human interference for precise age estimation based on machine learning?

International journal of legal medicine Feb 14, 2022
Age estimation can aid in forensic medicine applications, diagnosis, and treatment planning for orthodontics and pediatrics. Existing dental age estimation methods rely heavily on specialized knowledge and are highly subjective, wasting time, and ene...
Machine Learning Infant Radiography Child Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Automatic detection and classification of peri-prosthetic femur fracture.

International journal of computer assisted radiology and surgery Feb 14, 2022
PURPOSE: Object classification and localization is a key task of computer-aided diagnosis (CAD) tool. Although there have been numerous generic deep learning (DL) models developed for CAD, there is no work in the literature to evaluate their effectiv...
Humans Radiography Femur Diagnosis, Computer-Assisted Deep Learning Femoral Fractures
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Use of Natural Language Processing (NLP) in Evaluation of Radiology Reports: An Update on Applications and Technology Advances.

Seminars in ultrasound, CT, and MR Feb 11, 2022
Natural language processing (NLP) is focused on the computer interpretation of human language and can be used to evaluate radiology reports and has demonstrated useful applications in essentially all aspects of medical imaging delivery: interpretatio...
Humans Technology Natural Language Processing Radiography Radiology
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The Ability of Deep Learning Models to Identify Total Hip and Knee Arthroplasty Implant Design From Plain Radiographs.

The Journal of the American Academy of Orthopaedic Surgeons Feb 8, 2022
INTRODUCTION: The surgical management of patients with failed total hip or knee arthroplasty (THA and TKA) necessitates the identification of the implant manufacturer and model. Failure to accurately identify implant design leads to delays in care, i...
Retrospective Studies Deep Learning Humans Arthroplasty, Replacement, Hip Knee Prosthesis Radiography Arthroplasty, Replacement, Knee
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