AIMC Topic: Image Interpretation, Computer-Assisted
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Clinical Artificial Intelligence Applications in Radiology: Chest and Abdomen.
Radiologic clinics of North America
Nov 1, 2021
Organ segmentation, chest radiograph classification, and lung and liver nodule detections are some of the popular artificial intelligence (AI) tasks in chest and abdominal radiology due to the wide availability of public datasets. AI algorithms have ...
Upstream Machine Learning in Radiology.
Radiologic clinics of North America
Nov 1, 2021
Machine learning (ML) and Artificial intelligence (AI) has the potential to dramatically improve radiology practice at multiple stages of the imaging pipeline. Most of the attention has been garnered by applications focused on improving the end of th...
Optimization of Radiology Workflow with Artificial Intelligence.
Radiologic clinics of North America
Nov 1, 2021
The potential of artificial intelligence (AI) in radiology goes far beyond image analysis. AI can be used to optimize all steps of the radiology workflow by supporting a variety of nondiagnostic tasks, including order entry support, patient schedulin...
Basic Artificial Intelligence Techniques: Machine Learning and Deep Learning.
Radiologic clinics of North America
Nov 1, 2021
Machine learning is an important tool for extracting information from medical images. Deep learning has made this more efficient by not requiring an explicit feature extraction step and in some cases detecting features that humans had not identified....
Basic Artificial Intelligence Techniques: Natural Language Processing of Radiology Reports.
Radiologic clinics of North America
Nov 1, 2021
Natural language processing (NLP) is a subfield of computer science and linguistics that can be applied to extract meaningful information from radiology reports. Symbolic NLP is rule based and well suited to problems that can be explicitly defined by...
Future Directions in Artificial Intelligence.
Radiologic clinics of North America
Nov 1, 2021
No one knows what the paradigm shift of artificial intelligence will bring to medical imaging. In this article, we attempt to predict how artificial intelligence will impact radiology based on a critical review of current innovations. The best way to...
Regulatory Issues and Challenges to Artificial Intelligence Adoption.
Radiologic clinics of North America
Nov 1, 2021
Artificial intelligence technology promises to redefine the practice of radiology. However, it exists in a nascent phase and remains largely untested in the clinical space. This nature is both a cause and consequence of the uncertain legal-regulatory...
Separating Hope from Hype: Artificial Intelligence Pitfalls and Challenges in Radiology.
Radiologic clinics of North America
Nov 1, 2021
Although recent scientific studies suggest that artificial intelligence (AI) could provide value in many radiology applications, much of the hard engineering work required to consistently realize this value in practice remains to be done. In this art...
Artificial Intelligence Enabling Radiology Reporting.
Radiologic clinics of North America
Nov 1, 2021
The radiology reporting process is beginning to incorporate structured, semantically labeled data. Tools based on artificial intelligence technologies using a structured reporting context can assist with internal report consistency and longitudinal t...
Clinical Artificial Intelligence Applications: Breast Imaging.
Radiologic clinics of North America
Nov 1, 2021
This article gives a brief overview of the development of artificial intelligence in clinical breast imaging. For multiple decades, artificial intelligence (AI) methods have been developed and translated for breast imaging tasks such as detection, di...
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