By adopting AI, a mobile app development company can ensure regulatory compliance, foster user trust, and embed ethics ...

Even if data are removed from a system, it’s possible that an AI model may still be retaining the ‘lessons’ it learned from ...

This capability is supported by non-invasive data fusion technology, which enables real-time data flow across systems for bedside monitoring devices, smart infusion pumps, and more, without altering ...

The AI in Remote Patient Monitoring Companies Quadrant offers an in-depth analysis of the global AI in RPM market, highlighting leaders like Medtronic, Koninklijke Philips N.V., and GE Healthcare.

The AI + healthcare sector is entering a fast track of development.

Medical image segmentation is one of the most important tasks in modern healthcare. Every pixel in a scan tells a story, whether it marks a healthy cell, a cancerous growth, or a vital organ boundary.

The stethoscope has hardly changed in the 200 years that it’s been around — until now, that is. A groundbreaking development involving artificial intelligence (AI) has brought an exciting update to ...

Binoy Kurikaparambil Revi said Rather than spending years rewriting medical applications from scratch, we should focus on ...

Fujitsu develops AI agent platform for healthcare sector to enhance operational efficiency and ensure stable medical service provision: Kawasaki, Japan Saturday, August 30, 2025, ...

Sure enough, they found that when an AI was faced with a question that deviates from the familiar answer patterns it was trained on, there was a substantive decline in accuracy, from 80% to 42% ...

If AI I technology seeks to transform cancer care, it must solve three big needs: data, training and trust. Annemiek Snoeckx ...

England’s health service is trialling an artificial-intelligence tool that can identify skin cancer as accurately as a ...