Pixyl.Neuro reportedly leverages generative artificial intelligence (AI) technology to accelerate brain MRI assessment and improve early detection of abnormal atrophy.
The Food and Drug Administration (FDA) has granted 510(k) clearance for Pixyl.Neuro™, an adjunctive artificial intelligence (AI)-powered software that may enhance magnetic resonance imaging (MRI) detection and follow-up of patients with neurological disorders including Alzheimer’s disease and multiple sclerosis (MS).
Reportedly providing automated brain MRI analysis in less than five minutes, Pixyl.Neuro may help quantify brain region volume to aid in the differential diagnosis and facilitate earlier identification of atrophy, according to Pixyl, the developer of the software.
Lotfi Hacein-Bey, M.D, said adjunctive AI support reinforces radiology workflows for the assessment of patients with neurological disorders.
“The recent FDA approval of Pixyl's software is a very positive step toward improved diagnosis, management and longitudinal follow up of neurodegenerative and neuroinflammatory disorders, especially with the advent of disease-modifying treatments for MS, NMO (neuromyelitis optica) and Alzheimer's disease,” noted Dr. Hacein-Bey, the director of the Division of Neuroradiology the the University of California, Davis (UC Davis) School of Medicine in Sacramento, Calif.
Pixyl added that the Pixyl.Neuro software, currently utilized in more than 12 countries, has seen a four-fold increase in use since December 2022.
Stay at the forefront of radiology with the Diagnostic Imaging newsletter, delivering the latest news, clinical insights, and imaging advancements for today’s radiologists.
Large Medicare Study Shows Black Men Less Likely to Receive PET and MRI for Prostate Cancer Imaging
August 1st 2025An analysis of over 749,000 Medicare beneficiaries diagnosed with prostate cancer over a five-year period found that Black men were 13 percent less likely to receive PET imaging and 16 percent less likely to receive MRI in comparison to White men.
The Reading Room Podcast: A Closer Look at Remote MRI Safety, Part 3
August 1st 2025In the third of a three-part podcast episode, Emanuel Kanal, M.D. and Tobias Gilk, MRSO, MRSE, discuss strategies for maintaining the integrity of time-out procedures and communication with remote MRI scanning.
Reducing the Interval Breast Cancer Rate of Screening DBT: Can AI Have an Impact?
August 1st 2025In a retrospective review of screening digital breast tomosynthesis (DBT) exams for over 200 women with interval breast cancers, researchers found that AI provided accurate localization of cancers in 32.6 percent of the cases.
The Reading Room Podcast: A Closer Look at Remote MRI Safety, Part 2
August 1st 2025In the second of a multi-part podcast episode, Emanuel Kanal, M.D. and Tobias Gilk, MRSO, MRSE, share their perspectives on remote MRI safety protocols for ensuring screening accuracy and adherence to conditional implant guidelines as well as a rapid and effective response to adverse events.