- Today
- Holidays
- Birthdays
- Reminders
- Cities
- Atlanta
- Austin
- Baltimore
- Berwyn
- Beverly Hills
- Birmingham
- Boston
- Brooklyn
- Buffalo
- Charlotte
- Chicago
- Cincinnati
- Cleveland
- Columbus
- Dallas
- Denver
- Detroit
- Fort Worth
- Houston
- Indianapolis
- Knoxville
- Las Vegas
- Los Angeles
- Louisville
- Madison
- Memphis
- Miami
- Milwaukee
- Minneapolis
- Nashville
- New Orleans
- New York
- Omaha
- Orlando
- Philadelphia
- Phoenix
- Pittsburgh
- Portland
- Raleigh
- Richmond
- Rutherford
- Sacramento
- Salt Lake City
- San Antonio
- San Diego
- San Francisco
- San Jose
- Seattle
- Tampa
- Tucson
- Washington
AI Breakthrough Unlocks Secrets of the Brainstem
New Tool Offers Unprecedented Insights into Neurological Disorders
Published on Feb. 10, 2026
Got story updates? Submit your updates here. ›
Researchers at MIT, Harvard University, and Massachusetts General Hospital have developed a groundbreaking AI-powered tool called the BrainStem Bundle Tool (BSBT) that can automatically segment and analyze the intricate fiber bundles within the brainstem from diffusion MRI scans. This breakthrough offers unprecedented insights into neurological disorders like Alzheimer's, Parkinson's, multiple sclerosis, and traumatic brain injuries, and could revolutionize coma recovery assessment.
Why it matters
The brainstem, which controls critical functions like consciousness, breathing, and heart rate, has long been a frontier in medical imaging due to the complexity of its internal structures. BSBT's ability to precisely visualize and measure changes in the brainstem's white matter pathways could lead to earlier and more accurate diagnoses, personalized treatment plans, and improved monitoring of disease progression for a wide range of neurological conditions.
The details
The BSBT utilizes a sophisticated AI algorithm to automatically segment eight distinct fiber bundles within the brainstem from diffusion MRI scans. The tool works by creating a 'probabilistic fiber map' and then employing a convolutional neural network to distinguish individual bundles, combining map data with imaging information from within the brainstem. Initial testing has revealed distinct patterns of structural changes in patients with Alzheimer's, Parkinson's, multiple sclerosis, and traumatic brain injury, with the tool demonstrating greater accuracy in differentiating between these conditions and healthy controls compared to other classification methods.
- The research was published in the Proceedings of the National Academy of Sciences in February 2026.
The players
Massachusetts General Hospital (MGH)
A leading academic medical center and a founding member of Partners HealthCare, MGH is closely affiliated with Harvard Medical School and is a pioneer in neurological imaging research.
Harvard University
One of the world's most prestigious research universities, Harvard has a long history of groundbreaking advancements in the field of neuroscience and medical technology.
MIT
The Massachusetts Institute of Technology is a renowned research institution that has made significant contributions to the development of artificial intelligence and its applications in healthcare.
What’s next
The researchers plan to further validate the BSBT tool and work towards integrating it into clinical practice, which could lead to improved patient outcomes and a better understanding of neurological disorders.
The takeaway
The development of the BrainStem Bundle Tool (BSBT) represents a significant breakthrough in neurological imaging, offering unprecedented insights into the brainstem and its role in a wide range of neurological conditions. This AI-powered tool has the potential to revolutionize the way we diagnose, treat, and monitor these disorders, ultimately improving patient care and outcomes.
Boston top stories
Boston events
Feb. 13, 2026
We Had a WorldFeb. 13, 2026
Nine Inch Nails - Peel It Back Tour 2026Feb. 13, 2026
Monaleo (18 and Over)



