A5054764401- Advanced MRI Techniques and Applications
- Multimodal Machine Learning Applications
- Functional Brain Connectivity Studies
- Domain Adaptation and Few-Shot Learning
- Clinical Reasoning and Diagnostic Skills
- Medical Malpractice and Liability Issues
- Advanced Neuroimaging Techniques and Applications
- Mental Health Research Topics
- Intensive Care Unit Cognitive Disorders
- Anesthesia and Sedative Agents
- Image Retrieval and Classification Techniques
- Anesthesia and Neurotoxicity Research
- Evolutionary Psychology and Human Behavior
- Innovations in Medical Education
- Natural Language Processing Techniques
- Rough Sets and Fuzzy Logic
- Patient-Provider Communication in Healthcare
- Intimate Partner and Family Violence
- Human Pose and Action Recognition
- Patient Safety and Medication Errors
- Global Cancer Incidence and Screening
- Grief, Bereavement, and Mental Health
- Dementia and Cognitive Impairment Research
- Obesity and Health Practices
- Cancer survivorship and care
University of Amsterdam
2023-2024
Brigham and Women's Faulkner Hospital
2023
University of Southern California
2015-2019
Sharif University of Technology
2016
University of California, Davis
2015
Massachusetts General Hospital
2008-2013
Benson-Henry Institute
2013
Brigham and Women's Hospital
2011
Athinoula A. Martinos Center for Biomedical Imaging
2011
United States Department of Veterans Affairs
2011
Diagnostic errors contribute to patient harm, though few data exist describe their prevalence or underlying causes among medical inpatients.
Deep learning has received much attention as of the most powerful approaches for multimodal representation in recent years. An ideal model data can reason about missing modalities using available ones, and usually provides more information when multiple are being considered. All previous deep models contain separate modality-specific networks find a shared on top those networks. Therefore, they only consider high level interactions between to joint them. In this paper, we propose framework...
To investigate the effect of postoperative delirium on longitudinal brain microstructural changes, as measured by diffusion tensor imaging.We studied a subset larger Successful Aging after Elective Surgery (SAGES) study cohort older adults (≥70 years) without dementia undergoing elective surgery: 113 participants who had imaging before and 1 year surgery. Postoperative severity occurrence were assessed during hospital stay using Confusion Assessment Method validated chart review method. We...
<h3>Objective</h3> To examine the feasibility and test-retest reliability of encoding-task functional magnetic resonance imaging (fMRI) in mild Alzheimer disease (AD). <h3>Design</h3> Randomized, double-blind, placebo-controlled study. <h3>Setting</h3> Memory clinical trials unit. <h3>Participants</h3> We studied 12 patients with AD (mean [SEM] Mini-Mental State Examination score, 24.0 [0.7]; mean Clinical Dementia Rating 1.0) who had been taking donepezil hydrochloride for more than 6...
Under-reporting of elder financial abuse is partly due to failure those around the victim perceive mistreatment as abuse. This study explored effect and perceiver factors on perception in context Routine Activity Theory (RAT).488 older adults Ventura County (CA) were surveyed about using vignette method. In study's Vignette 1, amount money taken, type frailty, relationship perpetrator manipulated. 2, victim's age Respondents' demographics (age, gender, education, ethnicity)...
Abstract Background The COVID-19 pandemic required clinicians to care for a disease with evolving characteristics while also adhering changes (e.g., physical distancing practices) that might lead diagnostic errors (DEs). Objective To determine the frequency of DEs and their causes among patients hospitalized under investigation (PUI) COVID-19. Design Retrospective cohort. Setting Eight medical centers affiliated Hospital Medicine ReEngineering Network (HOMERuN). Target population Adults...
Research suggests that mood can moderate age differences in recognizing facial emotion. In this study, we examined how an anxious versus calm state affected younger and older adults’ processing of emotional faces. Older adults had greater difficulty identifying negative emotions, particularly when emotions were displayed at a low intensity level. However, did not affect face recognition. contrast, age, intensity, current all the perceived The effects on only observed for expressions. When...
We aim to recognize actions under an appearance distribution-shift between a source training-domain and target test-domain. To enable such video domain generalization, our key idea is intervene on the action remove confounding effect of domain-background class label using causal inference. Towards this, we propose learn causally debiased model that intervenes through three possible $Do$-operators which separate background. better align distributions also introduce test-time intervention....
In the quest for unveiling novel categories at test time, we confront inherent limitations of traditional supervised recognition models that are restricted by a predefined category set. While strides have been made in realms self-supervised and open-world learning towards test-time discovery, crucial yet often overlooked question persists: what exactly delineates category? this paper, conceptualize through lens optimization, viewing it as an optimal solution to well-defined problem....
With promising disease-modifying therapies for Alzheimer's Disease (AD) entering clinical trials, there remains a critical need biomarkers that can rapidly detect “signal of efficacy”. Functional MRI (fMRI) has the potential to acute pharmacological effects, but not yet been widely used in AD trials. To examine feasibility implementing an fMRI memory paradigm blinded trial and assess test-retest reliability subjects with mild moderate AD. Twenty-four Probable (mean MMSE 21.6, age 71.6)...
With promising disease-modifying therapies for Alzheimer's Disease (AD) entering clinical trials, there remains a critical need biomarkers that can rapidly detect “signal of efficacy”. Functional MRI (fMRI) has the potential to acute pharmacological effects, but not yet been widely used in AD trials. To examine feasibility implementing an fMRI memory paradigm blinded trial and assess test-retest reliability subjects with mild moderate AD. Twenty-four Probable (mean MMSE 21.6, age 71.6)...