Publications by authors named "Sumana Ramanathan"
Article Synopsis
- - The study aims to improve the diagnosis of non-traumatic brachial plexopathy using deep learning models applied to routine MRI scans from patients at Mayo Clinic over a 20-year period.
- - Researchers analyzed data from 196 patients and 256 MRI series, categorizing the abnormal cases and comparing the performance of six different deep learning approaches for identifying abnormalities in the brachial plexus.
- - The best model, using a feature merging strategy with multiple MRI sequences, achieved a high accuracy (89.5%) and AUC (92.2%), indicating strong potential for using advanced AI techniques in diagnosing this condition.
Rationale & Objective: Body mass index (BMI) is an independent predictor of kidney disease progression in individuals with autosomal dominant polycystic kidney disease (ADPKD). Adipocytes do not simply act as a fat reservoir but are active endocrine organs. We hypothesized that greater visceral abdominal adiposity would associate with more rapid kidney growth in ADPKD and influence the efficacy of tolvaptan.
View Article and Find Full Text PDFAutomatic abnormality identification of brachial plexus (BP) from normal magnetic resonance imaging to localize and identify a neurologic injury in clinical practice (MRI) is still a novel topic in brachial plexopathy. This study developed and evaluated an approach to differentiate abnormal BP with artificial intelligence (AI) over three commonly used MRI sequences, i.e.
View Article and Find Full Text PDF