The model and algorithm developed by Gomez and his collaborators are currently in the patent-pending process. They also tested the method using retrospective data from a cohort of 166 patients.

2081 Background: This study establishes Perfusion MRI (pMRI) correlation with tissue microvasculature and accuracy to predict histopathologic diagnosis of tumor recurrence or post-treatment radiation ...

Predictions for identifying 1-year seizure recurrence performed significantly better in electroencephalography (EEG) without interictal epileptiform discharges.

Mayo Clinic researchers in Phoenix used artificial intelligence to create an algorithm to better predict colorectal cancer recurrence, according to a multinational study published in Gastroenterology.

Incomplete covariate data is a common occurrence in many studies in which the outcome is survival time. When a full likelihood is specified, a useful technique for obtaining parameter estimates is the ...