Publications by authors named "P M Bentley"
Article Synopsis
- Estimating the age of acute ischemic brain lesions is crucial for managing strokes effectively, and the best current method involves measuring the Relative Intensity of brain lesions using non-contrast CT scans.
- A new convolutional neural network-based model (CNN-R) was developed to improve lesion age estimation, trained on actual time from onset to scan and validated with extensive external datasets.
- The CNN-R model demonstrated significantly better accuracy in predicting lesion age and understanding early lesion growth compared to traditional methods, making it a valuable tool for stroke diagnosis.
Background And Objectives: To reduce the risk of transfusion-transmitted malaria (TTM) from transfusible components, Australia tests for malaria antibodies in both travellers returning from and former residents of malaria-endemic areas. The testing is performed a minimum of 120 days after last potential exposure. TTM is an extremely rare event and managing the risk adds considerable complexity.
View Article and Find Full Text PDFBackground And Objectives: The risk of transfusion-transmitted malaria (TTM) infections is extremely low in Australia, and the cost-effectiveness of the current screening strategy has not been assessed. This study aims to conduct a cost-effectiveness analysis of different malaria screening strategies in blood donors as part of the risk-based decision-making framework.
Materials And Methods: A decision tree model was developed to assess the cost-effectiveness of five alternative malaria screening strategies from a healthcare sector perspective.
Article Synopsis
- Language plays a crucial role in how people learn about nature, especially in communicating biodiversity to non-experts.
- Scientists use techniques like analogy and narrative to help increase ecological literacy among the public.
- The article develops a framework based on these techniques to analyze how everyday conversations shape people’s understanding of biodiversity, with implications for future research and education in conservation.
Background: Intravenous thrombolysis (IVT) before endovascular treatment (EVT) for acute ischemic stroke might induce intracerebral hemorrhages which could negatively affect patient outcomes. Measuring white matter lesions size using deep learning (DL-WML) might help safely guide IVT administration. We aimed to develop, validate, and evaluate a DL-WML volume on CT compared to the Fazekas scale (WML-Faz) as a risk factor and IVT effect modifier in patients receiving EVT directly after IVT.
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