AI Foundation Model Predicts Diseases From Brain Scans |
The human brain is complex. Artificial intelligence (AI) machine learning and medical imaging data are accelerating breakthroughs in brain health, especially in medical diagnostics. A peer-reviewed study published today in Nature Neuroscience unveils an AI foundation model called BrainIAC (Brain Imaging Adaptive Core) that is capable of predicting brain age, dementia, time-to-stroke, and brain cancer from brain magnetic resonance imaging (MRI).
“We find that BrainIAC consistently outperforms traditional supervised models and transfer learning from more general biomedical imaging models across a wide range of downstream applications on healthy and disease-containing scans with minimal fine-tuning,” wrote corresponding author Benjamin Kann at the Dana-Farber Cancer Institute and Brigham and Women’s Hospital and Harvard Medical School in Boston, along with co-authors Divyanshu Tak, Biniam Garomsa, Anna Zapaishchykova, Tafadzwa Chaunzwa, Juan Carlos Climent Pardo, Zezhong Ye, John Zielke, Yashwanth Ravipati, Suraj Pai, Sri Vajapeyam, Maryam Mahootiha, Mitchell Parker, Luke Pike, Ceilidh Smith, Ariana Familiar, Kevin Liu, Sanjay Prabhu, Omar........