After fine-tuning, the VGG16 convolutional neural network outperformed other deep learning models in 2 of 3 key ...

The following is a summary of “Advancement and independent validation of a deep learning-based tool for automated scoring of ...

The integration of deep learning in neuroimaging enhances diagnostic capabilities, offering new insights into neurological ...

Beyond detection, the platform employs a large language model, specifically GPT-3.5, to recommend context-specific ...

Researchers sought to investigate the efficacy of a handcrafted ultrasomic model vs a deep-learning-based radiomic model in identifying infarcted myocardium using ultrasound video images.

Simulations showed that by using the BGG model, it is possible to alter network dynamics from a vulnerable 4/7 corrupted node ...

Radiologists who evaluate CT scans have diagnostic challenges due to the complexity of underlying anatomy and the potential ...

My journey into AI and jewellery design is not just about technology it's also deeply personal. As someone with both a ...

Researchers hope MindGlide will unlock valuable information from millions of untapped brain images that were previously difficult or impossible to understand.