While the market for conventional webcam and laptop camera modules remains robust, driven by hybrid work models, the most significant innovation and value are now concentrated in specialized segments.

This nonmagnetic Squiggle motor, for use in conjunction with MRI systems, is configured so that the motor’s screw pushes a syringe plunger to deliver a contrast medium during a scan. It’s hard to ...

Artificial Intelligence (AI) is revolutionizing the dynamics of technological advancement in the field of medical imaging, ...

Nvidia on Monday launched its Quadro 2000D professional graphics cards, specifically tailored to professional medical imaging applications such as patient diagnosis. Based on Nvidia's Fermi parallel ...

The global medical imaging market hit a massive $45.5 billion in 2026([1]) , marking a total structural shift toward AI-native precision as advanced cancer therapies demand more intense heart ...

HOPPR is a technology company developing a multimodal foundation model for medical imaging. The company is backed by Health2047, the Silicon Valley venture studio powered by the American Medical ...

Microchip Technology has introduced new solution stacks for its PolarFire® FPGA and SoC to enhance the development of smart robotics and medical imaging applications, addressing the complexities ...

By prioritising gentler, patient-focused approaches, the field of paediatric MRI has seen significant advances, while its use ...

Artificial intelligence may need new oversight in some areas, but additional regulation of medical devices now would be superfluous and inhibit innovation. Artificial intelligence (AI) is all the rage ...

The medical holography market is projected to grow at a robust CAGR of approximately 29% through 2029. This growth is driven ...

Recent research (2024-2025) consistently demonstrates the advantages of integrated AI-VR training: Knowledge Acquisition: ...

AI in medical imaging market growth is driven by deep learning advancements, personalized medicine, lack of radiologists, and AI integration in telemedicine. It faces challenges like high costs, data ...