AIMC Topic: Diagnostic Imaging

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Social Asymmetry, Artificial Intelligence and the Medical Imaging Landscape.

Seminars in nuclear medicine
Social and health care equity and justice should be prioritized by the mantra of medicine, first do no harm. Despite highly motivated national and global health strategies, there remains significant health care inequity. Intrinsic and extrinsic facto...

Domain generalization on medical imaging classification using episodic training with task augmentation.

Computers in biology and medicine
Medical imaging datasets usually exhibit domain shift due to the variations of scanner vendors, imaging protocols, etc. This raises the concern about the generalization capacity of machine learning models. Domain generalization (DG), which aims to le...

A Case for the Use of Artificial Intelligence in Glaucoma Assessment.

Ophthalmology. Glaucoma
We hypothesize that artificial intelligence (AI) applied to relevant clinical testing in glaucoma has the potential to enhance the ability to detect glaucoma. This premise was discussed at the recent Collaborative Community on Ophthalmic Imaging meet...

Artificial intelligence in functional imaging of the lung.

The British journal of radiology
Artificial intelligence (AI) is transforming the way we perform advanced imaging. From high-resolution image reconstruction to predicting functional response from clinically acquired data, AI is promising to revolutionize clinical evaluation of lung ...

A review of explainable and interpretable AI with applications in COVID-19 imaging.

Medical physics
The development of medical imaging artificial intelligence (AI) systems for evaluating COVID-19 patients has demonstrated potential for improving clinical decision making and assessing patient outcomes during the recent COVID-19 pandemic. These have ...

Construction and Evaluation of Intelligent Medical Diagnosis Model Based on Integrated Deep Neural Network.

Computational intelligence and neuroscience
In recent years, as human life expectancy increases, birth rate decreases and health management concerns; the traditional Healthcare imaging system, with its uneven Healthcare imaging resources, high Healthcare imaging costs, and diagnoses often rely...

Artificial intelligence for imaging-based COVID-19 detection: Systematic review comparing added value of AI versus human readers.

European journal of radiology
PURPOSE: A growing number of studies have examined whether Artificial Intelligence (AI) systems can support imaging-based diagnosis of COVID-19-caused pneumonia, including both gains in diagnostic performance and speed. However, what is currently mis...

Generative Adversarial Networks in Cardiology.

The Canadian journal of cardiology
Generative adversarial networks (GANs) are state-of-the-art neural network models used to synthesise images and other data. GANs brought a considerable improvement to the quality of synthetic data, quickly becoming the standard for data-generation ta...

[Artificial intelligence and medical imaging].

Bulletin du cancer
The use of artificial intelligence methods for image recognition is one of the most developed branches of the AI field and these technologies are now commonly used in our daily lives. In the field of medical imaging, approaches based on artificial in...