Faisal Ghaffar 
Philips SmartSpeed strives to bring higher picture quality with 3 times high scanning times and nearly no lost opportunity in picture quality by integrating advanced AI data gathering techniques into Philips’ established Condensed SENSE MR velocity engine.
With customized care for complicated diseases like cancer continuing to increase a need for highly precise diagnoses, diagnostic imaging departments are now under rising pressure to increase achievement, efficiency, and cash flow, as well as rising workloads due to the aging population and elevated amounts of clinician exhaustion.
“Philips’ AI-based SmartSpeed rebuilding is the benchmark among velocity technics for us,” said Dr. Grischa Bratke, radiation oncologist and specialist in musculoskeletal image analysis just at the University Hospital of Cologne. It outperforms the company’s current Compressed SENSE in every way, enabling for shorter using while preserving superior image quality and diagnosing confidence.”
Philips SmartSpeed, the newest addition to Philips’ wide portfolio of AI-driven, intelligent, linked imaging and smart process flow solutions, contributes to the Quintuple Intent of enhancing diagnosing outcomes, improving staff and patients’ life experience, and lowering health care costs.
When compared to traditional MR scans, this newest AI-powered MR system improves resolution by up to 65 percent and accomplishes up to 3 times quicker scanning times. Philips SmartSpeed increases diagnostic trust in a diverse patient population, including some of the most complex cases, by supporting 97 percent of current clinical protocols, such as innovative distinctions and dispersion balanced image processing and quantification scan results for the central nervous system, kidneys, heart, or neuromuscular image analysis. Philips SmartSpeed’s machine learning technique is used at the origin of the MR transmitter and is incorporated with Philips’ going to lead Compact speed motor to achieve the better resolution and sensor ratio required for detailed pictures, tiny lesion sensing, and augmented prognosis.
On the front end of the MR sensor, Philips SmartSpeed employs an award-winning AI rebuilding algorithm to delete sound and retain specifics whilst also empowering k-space data testing for trustable AI. The 2019 fast MRI Contest, held by Facebook Ai technologies and New York Commensurate Health, has been managed to win by the distinctive ‘Adaptive-C-SENSE-Net’ Artificial intelligence used during Philips SmartSpeed, which has been founded by Philips and many of its fellow educators.
By using the Quadruple Aim as just a starting place to grow and implement Ai applications, we have such an immense chance to address the waste and inefficiency and growing market that our clients and customers face each day,
