AIMC Topic: Diagnostic Imaging
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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...
Clinical Artificial Intelligence Applications: Musculoskeletal.
Radiologic clinics of North America
Nov 1, 2021
We present an overview of current clinical musculoskeletal imaging applications for artificial intelligence, as well as potential future applications and techniques.
Clinical Artificial Intelligence Applications in Radiology: Neuro.
Radiologic clinics of North America
Nov 1, 2021
Radiologists have been at the forefront of the digitization process in medicine. Artificial intelligence (AI) is a promising area of innovation, particularly in medical imaging. The number of applications of AI in neuroradiology has also grown. This ...
Radiomics in Oncology: A Practical Guide.
Radiographics : a review publication of the Radiological Society of North America, Inc
Oct 1, 2021
Radiomics refers to the extraction of mineable data from medical imaging and has been applied within oncology to improve diagnosis, prognostication, and clinical decision support, with the goal of delivering precision medicine. The authors provide a ...
Multi-Disease Detection in Retinal Imaging Based on Ensembling Heterogeneous Deep Learning Models.
Studies in health technology and informatics
Sep 21, 2021
Preventable or undiagnosed visual impairment and blindness affect billion of people worldwide. Automated multi-disease detection models offer great potential to address this problem via clinical decision support in diagnosis. In this work, we propose...
Applications of interpretability in deep learning models for ophthalmology.
Current opinion in ophthalmology
Sep 1, 2021
PURPOSE OF REVIEW: In this article, we introduce the concept of model interpretability, review its applications in deep learning models for clinical ophthalmology, and discuss its role in the integration of artificial intelligence in healthcare.
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