Automated methods enable the analysis of PET/CT scans (left) to accurately predict tumor location and size (right). Credit: Nature Machine Intelligence (2024). DOI: 10.1038/s42256-024-00912-9 ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

Precision medicine is a fast-growing field whereby medical treatments are tailored to individual patients – taking factors like genetics and lifestyle into account. A key part of this process is ...

Deep learning (DL) methods offer a promising solution by reconstructing raw, low-quality data into high-resolution images, helping to preserve diagnostic accuracy even under time constraints.

The emphasis for deep learning in image analysis is on creating robust algorithms and models that can manage diverse and complex visual inputs, offering significant improvements in accuracy ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

DIAGNOS and ÉTS conducted research to improve the performance of DIAGNOS’ deep learning algorithms in situations known to cause the degradation of learning models, particularly when the solutions are ...