Utilizing a new machine learning model, the OptimMRI software may improve radiosurgery applications and lesioning techniques such as MRI-guided focused ultrasound through enhanced targeting of the inferolateral part of the ventral intermediate nucleus (VIM).
The Food and Drug Administration (FDA) has granted an expanded 510(k) clearance for the artificial intelligence (AI)-powered OptimMRI software, which may bolster targeted deep brain stimulation (DBS) of neurological disorders such as essential tremor.
The expanded clearance is for the addition of a new machine learning model in the OptimMRI platform that is geared toward targeting of inferolateral part of the ventral intermediate nucleus (VIM). The improved targeting may help enhance accuracy with MRI-guided focused ultrasound (MRgFUS) lesioning techniques and radiosurgery applications, according to RebrAIn, the developer of OptimMRI.
The MRI-guided AI software OptimMRI features a newly FDA-cleared machine learning model that reportedly offers improved targeting of inferolateral part of the ventral intermediate nucleus (VIM), which may facilitate enhanced accuracy of deep brain stimulation for neurological disorders such as essential tremor. (Image courtesy of Adobe Stock.)
The company noted the OptimMRI platform previously garnered FDA clearance in January 2024 for machine learning models targeting VIM and subthalamic nucleus (STN) regions for DBS applications.
“The United States market represents the largest opportunity to enable personalized targeting for neurological disorders such as essential tremor. The ability to offer AI clinical targeting to neurosurgical suites will open many collaborations nationwide,” noted David Caumartin, the chief executive officer of RebrAIn.
Emmanuel Cuny, M.D., and Nejib Zemzemi, M.D., the co-founders of RebrAIn, will discuss VIM targeting during a session at the World Society for Stereotactic and Functional Neurosurgery (WSSFN) conference in Chicago on September 5. For more information, visit www.wssfn2024.org .
Can CT-Based AI Help Predict Renal Function Decline After Radioligand Therapy for mCRPC?
February 25th 2025In patients who had at least four cycles of 177Lu-PSMA-I&T for mCRPC, new research shows that a 10 percent or greater decrease in total kidney volume on CT at six months has a 90 percent AUC for predicting estimated glomerular filtration rates (eGFRs) of 30 percent or greater at one year.
Study Assesses Potential of Seven-Minute AI-Enhanced 3T MRI of the Shoulder
February 20th 2025Researchers found that the use of seven-minute threefold parallel imaging-accelerated deep learning 3T MRI had 89 percent sensitivity for supraspinatus-infraspinatus tendon tears and 93 percent sensitivity for superior labral tears.