Designing AI for mental health diagnosis
Responding to critics
Bibliographic Data
| ID | 21515035 |
|---|---|
| Authors | Edmund Terem Ugar (0000-0003-3034-5045, University of Johannesburg, corresponding author), Ntsumi Malele (University of Johannesburg) |
| Year | 2024 |
| Volume | 50 |
| Issue | 9 |
| Pages | 604-605 |
| Publication date | 2024-09-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Medical Ethics (JOURNAL) |
| Journal identifiers | ISSN: 0306-6800 • E-ISSN: 1473-4257 |
| Publisher | BMJ (PUBLISHER • GB) |
| DOI | 10.1136/jme-2024-110244 |
| PMID | 38977288 |
| OpenAlex | W4400412266 |
| Language | EN |
| References cited | 6 |
Data science · Mental health · Psychiatry · Computer Science · Mental Health and Psychiatry · Mental Health Research Topics · Psychology · Psychosomatic Disorders and Their Treatments
Navigating cultural diversity
Old wine in new bottles? What is new with AI for mental health diagnosis
Negotiating cultural sensitivity in medical AI
Designing AI for mental health diagnosis
The Fourth Industrial Revolution, Techno-Colonialism, and the Sub-Saharan Africa Response
The concept of mental disorder
| Highly cited | No |
|---|