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Fellowship Overview
The COVID-19 pandemic has placed enormous strains on medical care and the professionals who deliver it and has brought attention to deeply embedded structural faults and inequities in healthcare organizations. We aim to prepare the educational leaders who can lead transformational change, restore...
Welcome to the DART Lab
The main objectives of the newly established DART Lab are to develop and deploy mobile health assessments and interventions for adolescent chronic pain, mental health and substance use. Our studies combine the use of wearables and smartphone to reliably and consistently assess important outcomes in...
Publications
* Joint First-Authorship ** Joint Senior-Authorship 2021 & IN PRESS Kaczynski KJ, Chang CYH, Chimoff J, Koike C, Berde CB, Logan DE, Nelson S and Kossowsky J (2021) Initial Adjustment to the COVID-19 Pandemic and the Associated Shutdown in Children and Adolescents With Chronic Pain and Their...
Faculty & Staff
Faculty & Staff
Ecological Momentary Assessment
Ecological Momentary Assessment (EMA) involves repeated measures regarding the current behaviors and experiences in the patient's natural environments [1]. This assessment tool involves daily questions in diferent time-points along the day (e.g. Morning, Afternoon, and/or Evening). EMA is...
Contact
401 Park Dr., Fetal-Neonatal Neuroimaging & Developmental Science Center, Harvard Medical School, Boston Children’s Hospital, Boston, MA 02215, USA Kiho Im, PhD. Kiho.Im@childrens.harvard.edu kiho.sky@gmail.com
Brain Networks
We examine structural connectivity and network topology using individual primary gyral pattern-based nodes, overcoming the limitations of an atlas- based approach. We assess global (short- and long-association and interhemispheric fibers) and regional white matter connectivity and performed graph...
Fetal Brain Development: Deep learning
We use 2D CNN and performe multiple predictions from multi-slices in multi-view volume images for fetal brain age estimation. Mean absolute difference between the brain age and actual chronological age is less than 2 days, which is highly accurate.