Publications by authors named "Krish Maniar"
Methods to assess quality of life and recovery after endoscopic endonasal surgery (EES) for sellar lesions are limited and often biased by subjective patient-reported assessments. Objective in-situ assessments are lacking. Smartphone-based digital phenotyping has been increasingly studied across a variety of pathologies, utilizing built-in technologies to measure behavioral patterns pertaining to sleep, physical mobility, social interactions, and cognitive functioning, among others.
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- - Digital phenotyping (DP) allows for objective tracking of patient behaviors, particularly in assessing the mobility trends of glioblastoma (GBM) patients during different treatment phases.
- - The study tracked 15 GBM patients using the Beiwe app, collecting data on their movement and locations visited during preoperative and postoperative periods, revealing a decrease in mobility over time post-surgery.
- - Results showed that, one month after surgery, GBM patients spent less time out and visited fewer places compared to pre-surgery, but displayed increased mobility immediately after surgery; DP proved useful for measuring these changes.
Background: Meningiomas are common intracranial tumors. Machine learning (ML) algorithms are emerging to improve accuracy in 4 primary domains: classification, grading, outcome prediction, and segmentation. Such algorithms include both traditional approaches that rely on hand-crafted features and deep learning (DL) techniques that utilize automatic feature extraction.
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