A recent effort at the University of California at San Francisco combined machine learning with neuro-imaging in the form of positron emission tomography (PET) scans to predict the onset of the ...

The research was carried out at MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) and fits in alongside a raft of other promising machine learning ... into the workflow of the ...

This new research trained a machine learning algorithm on over 2100 FDG-PET brain images. While human clinicians are adept at evaluating these scans, co-author on the new study Jae Ho Sohn says ...

After adjusting the machine learning model for PET/MRI, a sensitivity of 96.2% and a specificity of 68.2% was achieved. "Based on the information gleaned from the MRI and PET/MRI scans ...