
United Imaging Enters US Ultrasound Market
An aggressive regulatory gamble just paid off, positioning a major challenger to disrupt the established ultrasound market.
Discover the newest research about AI innovations in 🩻 Radiology.

An aggressive regulatory gamble just paid off, positioning a major challenger to disrupt the established ultrasound market.

Hospital buyers assume all top-tier radiology AI performs the same, but new head-to-head data reveals critical trade-offs that could compromise patient care if ignored.

Automating the routine mechanics of ultrasound exams is no longer a luxury; it is becoming a survival strategy for short-staffed clinics.

Doubling scanning capacity is useless if there are no radiologists left to read the scans.

A new AI model drafts emergency head CT reports that radiologists cannot tell apart from human work.

A new regulatory shortcut could quietly solve the worst bottleneck in cancer treatment.

A new machine learning method extracts high-quality heart disease risk data from low-dose scans that doctors usually ignore for calcium scoring.

A new machine learning approach shows that while AI can easily spot the difference between Parkinson’s and its deadlier lookalikes, pinpointing the exact disease remains incredibly difficult.

Adding radiology text to visual AI models stops them from failing when hyperparameters change.

A new human-in-the-loop training method proves that AI can slash the grueling hours radiologists spend labeling medical images without sacrificing clinical accuracy.