AI-assisted neurocognitive assessment protocol for older adults with psychiatric disorders
Bibliographic Data
| ID | 15520801 |
|---|---|
| Authors | Diego D Díaz-Guerra, Diego D Díaz‐Guerra (0000-0001-5169-838X, Universidad Central "Marta Abreu" de las Villas (UCLV)), Marena de la C Hernández-Lugo (0000-0001-9036-3953, Universidad Central "Marta Abreu" de las Villas (UCLV)), Yunier Broche-Pérez, Yunier Broche‐Pérez (0000-0002-3450-7374), Carlos Ramos-Galarza (0000-0001-5614-1994, Universidad Indoamérica, corresponding author), Ernesto Iglesias-Serrano (Universidad de Ciencias Pedagógicas Félix Varela Morales), Zoylen Fernández-Fleites (0000-0001-9739-2749, Universidad Central "Marta Abreu" de las Villas (UCLV)) |
| Year | 2025 |
| Volume | 15 |
| Pages | 1516065-1516065 |
| Publication date | 2025-01-13 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2024.1516065 |
| PMID | 39872430 |
| OpenAlex | W4406346713 |
| Language | EN |
| References cited | 86 |
By integrating AI with neuro-psychological evaluation, this protocol aims to significantly improve the quality of neurocognitive assessments. It provides a more precise and individualized analysis, which has the potential to enhance clinical decision-making and overall patient care for older adults with psychiatric disorders
Cognition · Neurocognitive · Neuropsychology · Protocol (science · Psychiatry · Clinical Psychology · Cognitive Functions and Memory · Computer Science · Dementia and Cognitive Impairment Research · Functional Brain Connectivity Studies · Medicine · Psychology · Artificial Intelligence
| Citation velocity | historical |
|---|---|
| Highly cited | No |