A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
A study led by researchers at the Institute for Research in Biomedicine of Lleida (IRBLleida), the University of Lleida (UdL) ...
A better model would take these factors into account to offer a more realistic recommendation, perhaps by providing an option ...
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Medical AI models need more context to prepare for the clinic: Challenges and potential solutions
Medical artificial intelligence is a hugely appealing concept. In theory, models can analyze vast amounts of information, recognize subtle patterns in data, and are never too tired or busy to provide ...
At random, I chose glm-4.7-flash, from the Chinese AI startup Z.ai. Weighing in at 30 billion "parameters," or neural weights, GLM-4.7-flash would be a "small" large language model by today's ...
Abstract: Addressing traffic congestion is significant in enhancing urban mobility. Traditional navigation systems use real-time traffic status to push the temporally shortest path to drivers, forming ...
The cost of equity has become one of the most consequential variables in financial decision-making across Latin America, an ...
Prithvi-EO-2.0 is based on the ViT architecture, pretrained using a masked autoencoder (MAE) approach, with two major modifications as shown in the figure below. Second, we considered geolocation ...
Abstract: The primary aim of this study was to assess the classification performance of deep learning models in distinguishing between resting state and motor imagery swallowing, utilizing various ...
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