Utilizing brain MRI and cognitive assessments, the newly FDA-approved, AI-powered software platform BrainSee can reportedly predict the progression of amnestic mild cognitive impairment (aMCI) to Alzheimer’s dementia within five years.
The Food and Drug Administration (FDA) has granted De Novo approval for BrainSee, a software platform that may predict up to a five-year progression of amnestic mild cognitive impairment (aMCI) to Alzheimer’s dementia, based on a combined artificial intelligence (AI) assessment of brain MRI and cognitive assessments.
Through the aforementioned combination, BrainSee generates an automated score that notes the likelihood of progression from aMCI to Alzheimer’s dementia, according to Darmiyan, Inc., the developer of the software platform.
Darmiyan emphasized that for patients with aMCI deemed to be at high risk for developing Alzheimer’s dementia within five years, the predictive screening capability afforded by BrainSee may facilitate personalized treatment. For those deemed to be at lower risk of Alzheimer’s dementia progression, the non-invasive BrainSee risk stratification may decrease patient anxiety as well as costs of more invasive tests, according to Darmiyan.
"Our vision is to redefine brain health screening and monitoring standards and impact the lives of patients and their family members in a meaningful way,” noted Padideh Kamali-Zare, Ph.D., the founder and CEO of Darmiyan. “BrainSee is the first product of this vision, backed by our solid technological infrastructure that is capable of driving further transformations and scalable innovations in the brain health landscape.”
AI Mammography Platform Shows Promising Results for Detecting Subclinical Breast Cancer
October 3rd 2024Mean artificial intelligence (AI) scoring for breasts developing cancer was double that of contralateral breasts at initial biennial screening and was 16 times higher at the third biennial screening, according to a study involving over 116,000 women with no prior history of breast cancer.
Enhancing Lesions on Breast MRI: Can an Updated Kaiser Scoring Model Improve Detection?
September 26th 2024The addition of parameters such as patient age, MIP sign and associated imaging features to the Kaiser score demonstrated a 95.6 percent AUC for breast cancer detection of enhancing lesions on breast MRI in recently published research.