Clarius Mobile Health of Vancouver, B.C., has won FDA approval to market an AI model that works with the company’s handheld point-of-care ultrasound devices to identify and measure tendons of the foot, ankle and knee.

GE HealthCare has some favorable tailwinds at its back as it proceeds into its first year unattached to a certain venerable parent corporation. 

Has point-of-care ultrasound outpaced hospitals’ capacity to incorporate the technology without anointing any particular specialty its proper guardian? The case could be made.

The device, designed to be worn for up to 24 hours at a time, uses ultrasound technology and artificial intelligence to track how much blood the user's heart is pumping.

A team of specialists out of Cedars-Sinai developed the deep learning model using TTEs from nearly 3,000 patients.

The "vortex ultrasound" technique eliminates blood clots with helical ultrasound waves, rather than forward-facing waves.  

A multi-modal AI approach can combine information from both ABUS and DM, which could be especially beneficial in resource poor regions where experienced radiologists might not be readily available.

Here is a list of some key trends in radiology technology from our editors based on our coverage of the radiology market.