Mar 8, 2019 · An artificial intelligence (AI) system that evaluates the images fast and accurately help reducing workflow and management of the patients. An ...
ABSTRACT. Chest X-rays are among the most common modalities in medical imaging. Technical flaws of these images, such as over- or under-exposure or wrong ...
Mar 13, 2019 · These results suggest that the AI quality assessment could potentially reduce repeat chest radiograph rate by 89% by providing feedback for ...
Feb 17, 2019 · We use a deep neural network trained on a dataset of 3487 images labeled by two experienced radiologists to classify the images as diagnostic or ...
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Nov 8, 2022 · X-ray systems are helping clinicians provide diagnostic care with a suite of on-device AI algorithms to detect potentially life-threatening ...
Apr 21, 2023 · In this review, we highlight some key areas of application of AI in point-of-care testing, including lateral flow immunoassays, bright-field microscopy, and ...
Missing: radiograph assessment.
Moreover, AI optimises personnel allocation and scanner usage and reduces radiation exposure, thereby boosting efficiency and quality of care [45]. By virtue of ...
Jun 26, 2024 · “ARCH-AI can help radiology practices structure QA processes that help them plan for what can go wrong, including the development of good AI ...
Oct 5, 2023 · This diagnostic study investigates the quality and accuracy of artificial intelligence–generated chest radiography reports compared with the ...
Overall, the value of AI was found to be positive and especially with potential connected to beneficial patient safety, diagnostic accuracy, and workflow. Key ...