Name
Title | ||
|---|---|---|
Smart conversational agents for the detection of neuropsychiatric disorders: A systematic review |
Abstract | ||
|---|---|---|
•Smart conversational agents can potentially detect neuropsychiatric diseases.•The scientific literature was reviewed using the PRISMA methodology.•The coverage of mental disorders is broad, and the use of AI is widespread.•Emerging and promising field, with lack of robust psychometric validation. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.jbi.2020.103632 | Journal of Biomedical Informatics |
Keywords | DocType | Volume |
Conversational agent,Virtual assistant,Mental disorder,Depression,Dementia,Detection,Diagnosis | Journal | 113 |
ISSN | Citations | PageRank |
1532-0464 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Moisés R. Pacheco-Lorenzo | 1 | 0 | 0.34 |
| Sonia M. Valladares-Rodríguez | 2 | 0 | 0.34 |
| Luis E. Anido-Rifón | 3 | 0 | 0.34 |
| Manuel J. Fernández Iglesias | 4 | 28 | 14.58 |