Traditional medical imaging follows a linear workflow: capture → transmit → store → analyze → report. This often involves large imaging files (e.g., DICOM for CT or MRI scans), reliance on PACS ...

Computed tomography (CT) is an important diagnostic tool in clinical practice, widely used for disease screening and diagnosis. However, CT scans ...

As AI, blockchain, and adaptive infrastructure converge, MCP servers are emerging as the digital backbone, delivering the low ...

Critical concerns regarding the security and privacy of information transmitted within Internet of Medical Things systems have increased greatly ...

In the unfolding landscape of AI-driven, quantum-augmented, globally distributed systems, Shah stands as a guide and ...

Enterprise architect and innovator Prince Kumar bridges AI-driven data governance with patented predictive healthcare systems, creating a new paradigm for proactive pandemic prevention and global ...

Nvidia unveiled an expanded Mega Omniverse Blueprint for factory-scale digital twins, with Siemens and FANUC first to align.

Catch up on the top artificial intelligence news and commentary by Wall Street analysts on publicly traded companies in the space with this daily ...

The global Clinical Trials market is entering a new era of intelligent innovation and digital transformation. Valued at USD ...

Edge computing enables local data processing, reduces reliance on cloud infrastructure and enhances resilience in ...

The AI in Edge Computing Market represents the next frontier in intelligent data processing - bridging cloud intelligence with on-device autonomy. With the market set to expand from USD 16.54 billion ...

Researchers from The University of Osaka's Institute of Scientific and Industrial Research (SANKEN) have successfully ...