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 ...

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.

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 ...

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 ...

The global AI in ultrasound imaging market is set to witness a growth rate of 22% in the next 5 years. Growing adoption of AI ...

DBT to create image biobanks with AI backing to improve diagnostic technologies: Gireesh Babu, New Delhi Wednesday, July 23, 2025, 08:00 Hrs [IST] The Department of Biotechnology ...

From machine learning and deep learning to generative AI and natural language processing, different types of AI models serve various use cases—for example, automating tasks, developing better ...

Deep learning and generative AI (GenAI) are both advanced AI technologies that use neural networks for various applications, such as image recognition and creation, autonomous transportation, and ...

A Deep Learning Alternative Can Help AI Agents Gameplay the Real World A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.