
The US Food and Drug Administration (FDA) has granted 510(k) clearance for Philips’ SmartSpeed Precise deep learning reconstruction software.
This dual AI software is said to deliver up to three times faster scanning and 80% sharper images, bolstering diagnostic confidence in cardiology, oncology, and neurology.
Approved for clinical use, SmartSpeed Precise is compatible with the company’s full range of 1.5T and 3.0T magnetic resonance imaging (MRI) systems.
It was revealed at the European Congress of Radiology (ECR) 2025.
According to the company, the software addresses the issues that the healthcare sector is grappling with increased demand for MRI scans amid staffing shortages and rising professional burnout.
It merges three technologies into one solution: Philips’ Compressed SENSE acceleration engine, an AI-powered denoising engine to improve image clarity, and a second AI engine for the sharpening of the image and anti-ringing.

US Tariffs are shifting - will you react or anticipate?
Don’t let policy changes catch you off guard. Stay proactive with real-time data and expert analysis.
By GlobalDataThe software delivers a brain scan in under ten seconds and is poised to alleviate patient backlogs and increase throughput without quality compromise.
It enables consistent imaging across various teams and patient anatomies. The easy protocol optimisation is especially beneficial for challenging cases such as the elderly, paediatric, or uncooperative individuals.
Philips MR business leader Ioannis Panagiotelis said: “This FDA clearance is a powerful validation of Philips’ leadership in AI-powered MRI innovation.
“SmartSpeed Precise reflects our commitment to continuous innovation that addresses clinicians’ real-world pressures. By integrating dual AI with our proven Compressed SENSE engine, we are enabling faster, sharper, and smarter MR scans—making high-quality imaging more accessible and efficient than ever before.â€
Before this development, Philips announced the expansion of its partnership with Medtronic, focusing on advancing patient monitoring technologies to improve care quality.