- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
MRI software predicts Alzheimer's disease
Massachusetts General Hospital researchers are using automated MRI software to detect individuals in the preclinical phase of Alzheimer's disease with 95% accuracy.
Massachusetts General Hospital researchers are using automated MRI software to detect individuals in the preclinical phase of Alzheimer's disease with 95% accuracy.
Dr. Rahul Desikan, a researcher at MGH, and colleagues identified which regions of the brain are affected by AD and mild cognitive impairment in two patient groups of 97 and 216, respectively. Based on earlier pathological and imaging studies, the investigators confirmed that those with AD or MCI demonstrate a significant difference in thickness and volume in their entorhinal cortex, hippocampus, and supramarginal gyrus. The researchers then processed MRI scans of individuals with AD and MCI using FreeSurfer, open source software developed at MGH and the University of California, San Diego (Brain 2009;May 21 online).
CT Study: AI Algorithm Comparable to Radiologists in Differentiating Small Renal Masses
May 14th 2024An emerging deep learning algorithm had a lower AUC and sensitivity than urological radiologists for differentiating between small renal masses on computed tomography (CT) scans but had a 21 percent higher sensitivity rate than non-urological radiologists, according to new research.
