Medical imaging has become one of the most critical pillars of modern healthcare to provide insights into diagnosis, treatment planning, and disease management. However, the very success of imaging ...

In the field of neuroscience, imaging techniques are central for unraveling the structure and function of the nervous system at molecular, cellular, ...

(UroToday.com) Friday’s afternoon plenary session featured Dr. Giovanni E. Cacciamani, who delivered a state-of-the-art lecture on advances in image-guided robotic surgery. Drawing on his group’s ...

Scientists have developed living microrobot swarms made from algae and nanoparticles that can assemble into custom shapes ...

The company will showcase the latest iRT solution, MIM software innovations, and BK Medical technology – advancing speed, connectivity, and personalized medicine across the cancer care pathway.CHICAGO ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

Abstract: In the field of deep learning-based medical image segmentation, convolutional neural networks (CNNs) extract image features by combining linear convolutional layers with nonlinear activation ...

Abstract: Forward-Looking Sonar (FLS) image segmentation holds significant importance in marine engineering. However, existing image segmentation algorithms struggle to extract features from FLS ...

With FDA clearance in hand, Rivanna highlighted that it will accelerate the development of further AI capabilities for the ...

Field-Programmable Gate Arrays (FPGAs) offer a flexible hardware substrate for accelerating image edge detection, combining high parallelism with reconfigurability to meet real-time throughput and low ...

Journal of Nuclear Medicine Technology April 2026, jnmt.125.271114; DOI: https://doi.org/10.2967/jnmt.125.271114 ...