A5000662028- Digital Mental Health Interventions
- Mental Health Research Topics
- Mobile Health and mHealth Applications
- Impact of Technology on Adolescents
- Schizophrenia research and treatment
- Medical Imaging and Analysis
- Functional Brain Connectivity Studies
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Cardiac, Anesthesia and Surgical Outcomes
- Health Literacy and Information Accessibility
- Medical Education and Admissions
- Child Development and Digital Technology
- Orthopedic Surgery and Rehabilitation
- Diversity and Career in Medicine
- Pituitary Gland Disorders and Treatments
- Urban Green Space and Health
- Brain Metastases and Treatment
- Elbow and Forearm Trauma Treatment
- Neuroendocrine Tumor Research Advances
- Mental Health and Patient Involvement
- Genetic Associations and Epidemiology
- Telemedicine and Telehealth Implementation
- Adrenal and Paraganglionic Tumors
- Innovations in Medical Education
- Genomic variations and chromosomal abnormalities
Icahn School of Medicine at Mount Sinai
2021-2023
Valid International (United Kingdom)
2023
The University of Texas Health Science Center at San Antonio
2023
Mount Sinai Health System
2021-2022
Mount Sinai Hospital
2020-2021
New York Proton Center
2021
Beth Israel Deaconess Hospital
2020
Beth Israel Deaconess Medical Center
2019-2020
Harvard University
2019-2020
Harvard University Press
2019
The rise of digital health, fuelled by access to smartphones and connectivity apps, has resulted in a plethora mobile technology-based innovations. US Food Drug Administration (FDA) estimates that 2018, 1·7 billion people downloaded health apps.1Mobile Medical ApplicationsUS Administration.https://www.fda.gov/medicaldevices/digitalhealth/mobilemedicalapplications/default.htmDate accessed: December 11, 2018Google Scholar With over 325 000 choose from across all domains2Bates DW Landman A...
As the potential of smartphone apps and sensors for healthcare clinical research continues to expand, there is a concomitant need open, accessible, scalable digital tools. While many current app platforms offer useful solutions either clinicians or patients, fewer seek serve both support therapeutic relationship between them. Thus, we aimed create novel platform at intersection patient demands trust, control, community clinician transparent, data driven, translational The resulting LAMP has...
Background As mental healthcare expands to smartphone apps and other technologies that may offer therapeutic interventions without a therapist involved, it is important assess the impact of non-traditional relationships. Aims To determine if there were any meaningful data regarding digital alliance in for serious illnesses. Method A literature search was conducted four databases (PubMed, PsycINFO, Embase Web Science). Results There five studies discuss when mobile application intervention...
Objective This study aimed to understand the attributes of popular apps for mental health and comorbid medical conditions, how these qualities relate consumer ratings, app quality classification by WHO framework. Methods We selected 10 from Apple iTunes store US Android Google Play on 20 July 2018 six disease states: depression, anxiety, schizophrenia, addiction, diabetes hypertension. Each was downloaded two authors who provided information apps’ attributes, functionality, interventions,...
The use of smartphone apps for research and clinical care in mental health has become increasingly popular, especially within youth health. In particular, digital phenotyping, the monitoring data streams from a to identify proxies functional outcomes like steps, sleep, sociability, is interest due ability monitor these multiple relevant indications clinically symptomatic behavior. However, scientific progress this field been slow high heterogeneity among lack reproducibility. paper, we...
Abstract The integration of technology in clinical care is growing rapidly and has become especially relevant during the global COVID-19 pandemic. Smartphone-based digital phenotyping, or use integrated sensors to identify patterns behavior symptomatology, shown potential detecting subtle moment-to-moment changes. These changes, often referred as anomalies, represent significant deviations from an individual’s baseline, may be useful informing risk relapse serious mental illness. Our...
Abstract Digital phenotyping has potential to quantify the lived experience of mental illness and generate real-time, actionable results related recovery, such as case social rhythms in individuals with bipolar disorder. However, passive data features for rhythm clinical targets schizophrenia have yet be studied. In this paper, we explore relationship between active by focusing on temporal stability variance at an individual level well large-scale associations a population gain clinically...
Although cognition is a core symptom of schizophrenia and associated with functional impairment, the degree training for time its assessment makes it difficult to routinely monitor in clinic care.Smartphone based cognitive assessments could serve as tool measure real well being easily scalable broad use.Combined other data gathered from smartphone sensors such steps, sleep, self-reported symptoms - capturing 'cognition context' provide powerful new assessing burden disease schizophrenia.18...
The following case series provides several examples from the Digital Clinic, an outpatient mental health program which uses smartphone technology to augment traditional care. themes highlighted in this piece, expanding emotional-awareness, symptom tracking, and medication management, provide real-clinical of how Clinic offered remote care a diverse group people. Furthermore, piece demonstrates practicing clinicians digital technologies, like apps, can diversify methods clinical engagement,...
There are currently many tools available for capturing and defining the context of one's environment. Digital phenotyping, use technology sensors to capture moment-to-moment behavior, has shown potential in quantifying lived experience mental illness identification individualized targets related recovery. Environmental data suggests that greenspace may have a restorative capacity on health. In this paper, we explore relationship derived from geolocation with self-reported symptomatology...
Background While there are numerous mental health apps on the market today, less is known about their safety and quality. This study aims to offer a longitudinal perspective nature of high visibility for common physical conditions. Methods In July 2019, we selected 10 top search-returned in Apple App Store Android Google Play using six keyword terms: depression, anxiety, schizophrenia, addiction, blood pressure diabetes. Each app was downloaded by two authors reviewed clinician, coded...
Abstract Schizophrenia, Schizoaffective, and Bipolar disorders share behavioral phenomenological traits, intermediate phenotypes, some associated genetic loci with pleiotropic effects. Volumetric abnormalities in brain structures are among the phenotypes consistently reported these disorders. In order to examine underpinnings of structural modifications, we performed genome-wide association analyses (GWAS) on 60 quantitative MRI a sample 777 subjects (483 cases 294 controls pooled together)....
In this nationwide retrospective study, the authors aimed to identify demographic, clinical, and baseline health risk factors predictive of a prolonged length stay (PLOS) for patients with pituitary adenomas (PAs).The National Inpatient Sample dataset from 2016 2019 was utilized all included hospitalizations PA resection as identified by appropriate diagnosis-related group code. Comorbidities were classified based on Charlson Comorbidity Index mapping ICD-10 codes, PLOS any longer than 3...
Despite the emergence of app evaluation tools, there remains no well-defined process receptive to diverse local needs, rigorous standards, and current content. The need for such a assist in implementation across all medical fields is evident. Such has potential increase stakeholder engagement catalyze interest with present-day models.
Abstract Objectives We investigate whether meta‐data, specifically duration of responses to smartphone‐delivered surveys, is correlated elevated scores on the depression assessment PHQ‐9 as well specific item around self‐harm (item 9). Methods In this observational study, we recruited 92 smartphone‐owning adults (≥ 18) with schizophrenia (45) and healthy controls (43). installed an open‐source smartphone app called mindLAMP collect survey results latencies (response times) over a period 3...
Background Increasing screen time exposure from digital devices like smartphones has shown a variety of mixed associations with cognition, behavior, and well-being in adults children but little is known about its symptomatology individuals serious mental illness. Objective To determine the range between symptoms illness, we utilized method called specification curve analysis. Methods In this observational study, recruited smartphone-owning (≥18 years old) schizophrenia healthy controls. We...
Abstract Background Medical society recognition awards are important resources for physicians in advancing their careers. There is a need to better understand the representation of physician recipients by race and ethnicity, especially women with intersectional identities. Objective To assess proportions American Academy Physical Medicine Rehabilitation (AAPM&R) award ethnicity intersection gender. Design Cross‐sectional retrospective study. Setting Methods One hundred seven (n = 107)...
Cross-sectional study.The purpose of this study is to develop and validate a machine learning algorithm for the automated identification anterior cervical discectomy fusion (ACDF) plates from smartphone images anterior-posterior (AP) spine radiographs.Identification existing instrumentation critical step in planning revision surgery ACDF. Machine algorithms that are known be adept at image classification may applied problem ACDF plate identification.A total 402 containing 15 different types...
Recent advances in treatment of malignant brain tumors have improved outcomes. However, patients continue to experience significant disability. Palliative care helps with advanced illnesses improve their quality life. There is a paucity clinical studies examining palliative usage among tumors.To assess if there were any patterns utilization hospitalized tumors.A retrospective cohort representing hospitalizations for was created from The National Inpatient Sample (2016-2019). identified by...