Publications by authors named "A Maiter"
Background High-resolution CT (HRCT) is central to the assessment of interstitial lung disease (ILD), and accurate classification of disease has important implications for patients. Evaluation of imaging features can be challenging, even for experienced thoracic radiologists. Previous work has provided equivocal evidence on the interpretation of HRCT features at ILD-related imaging.
View Article and Find Full Text PDFObjectives: The popularity of trans-radial access (TRA) for cerebral angiography is growing. Potential benefits of TRA over traditional trans-femoral access (TFA) are multitude. This study aimed to evaluate discharge outcomes and patient opinion of TRA compared to TFA in patients undergoing cerebral angiography prior to stereotactic radiosurgery (SRS) treatment for cerebral arteriovenous malformations.
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- Chronic pulmonary embolism (PE) can lead to a serious condition called pulmonary hypertension (CTEPH), and scientists are exploring how artificial intelligence (AI) can help doctors diagnose it better using CT scans.
- Researchers reviewed studies to see how AI tools are used to analyze CT pulmonary angiography (CTPA) in patients with chronic PE and CTEPH.
- The review found that there are only a few studies using AI for this purpose, and while some methods showed promise, the details about how they were developed were not consistently reported.
Introduction: Cardiac magnetic resonance (CMR) is of diagnostic and prognostic value in a range of cardiopulmonary conditions. Current methods for evaluating CMR studies are laborious and time-consuming, contributing to delays for patients. As the demand for CMR increases, there is a growing need to automate this process.
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- This text talks about how scientists are using artificial intelligence (AI) to help identify different parts of the heart in medical images, especially using CT scans.
- The researchers looked at 18 studies from 2020 onwards to see how well these AI methods worked in segmenting heart structures and found that the AI performed pretty well overall.
- However, they noticed that many of the studies didn't check their AI tools on other data and weren't very clear about their methods, which could be improved.