Publications by authors named "S Badhe"
Purpose To develop a highly generalizable weakly supervised model to automatically detect and localize image-level intracranial hemorrhage (ICH) by using study-level labels. Materials and Methods In this retrospective study, the proposed model was pretrained on the image-level Radiological Society of North America dataset and fine-tuned on a local dataset by using attention-based bidirectional long short-term memory networks. This local training dataset included 10 699 noncontrast head CT scans in 7469 patients, with ICH study-level labels extracted from radiology reports.
View Article and Find Full Text PDFBackground: Altered size in the corpus callosum (CC) has been reported in individuals with autism spectrum disorder (ASD), but few studies have investigated younger children. Moreover, knowledge about the age-related changes in CC size in individuals with ASD is limited.
Objectives: Our objective was to investigate the age-related size of the CC and compare them with age-matched healthy controls between the ages of 2 and 18 years.
Purpose: Duchenne muscular dystrophy (DMD) is the most common and severe form of muscular dystrophy. Current diagnostic tests like genetic testing, needle electromyography, and muscle biopsy are either not easily available or invasive, and they are impractical for assessing disease progression and treatment outcomes. Therefore, there is a need for a non-invasive and accurate investigative modality for DMD.
View Article and Find Full Text PDFArticle Synopsis
- Grading gliomas accurately is critical for prognosis but often relies on complex and subjective MRI interpretations that can lead to errors.
- This study utilized a machine learning approach to analyze radiomic features from MRI scans of 83 patients with confirmed gliomas, aiming to classify glioma grades more effectively.
- The random forest classifier outperformed others, achieving an accuracy of 83% and an AUC of 0.81, demonstrating that machine learning can enhance the prediction of glioma grades non-invasively before surgery.
Background: Native hip dislocations are most commonly seen after high energy trauma. While there are documented cases of hip dislocation with associated stroke, we present a case of posterior hip dislocation in the context of acute longitudinal transverse myelitis due to a rare presentation of SARS-CoV-2.
Case Report: A 60-year-old male presented with bilateral lower limb weakness with a shortened internally rotated left leg.