Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Argyrios Perivolaris

Datos Biográficos

ID7958285
NOMBREArgyrios Perivolaris
NOMBRESArgyrios
APELLIDOPerivolaris
FIRMAPERIVOLARIS A
AFILIACIONESSt. Michael's Hospital
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2025
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H0
  • Opinion

    Open Access•Argyrios Perivolaris, Alice Rueda et al.•ARTICLE•Frontiers in Psychiatry•2025

    The integration of artificial intelligence (AI) and machine learning (ML) into healthcare is growing, with tools often limited by data scarcity and biases; issues particularly pronounced in mental health research. Data augmentation, a method of artificially expanding datasets, holds promise for addressing these challenges by creating synthetic data, improving diversity, and reducing costs. This has shown success in medical imaging, yet mental hea…

Sin obras prominentes en esta página.

  • Opinion

    Open Access•Argyrios Perivolaris, Alice Rueda et al.•ARTICLE•Frontiers in Psychiatry•2025

    The integration of artificial intelligence (AI) and machine learning (ML) into healthcare is growing, with tools often limited by data scarcity and biases; issues particularly pronounced in mental health research. Data augmentation, a method of artificially expanding datasets, holds promise for addressing these challenges by creating synthetic data, improving diversity, and reducing costs. This has shown success in medical imaging, yet mental hea…

Augment (1 obra) · Child and Adolescent Psychosocial and Emotional Development (1 obra) · Health Policy Implementation Science (1 obra) · Medicine (1 obra) · Mental health (1 obra) · Mental Health Treatment and Access (1 obra) · Psychiatry (1 obra) · Psychology (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae