ChatGPT has the potential to enhance antiretroviral therapy adherence among adolescents with HIV in sub-Saharan Africa
Bibliographic Data
| ID | 15328347 |
|---|---|
| Authors | Simon Kizito (0000-0003-2413-0398, Washington University in St. Louis, corresponding author) |
| Year | 2023 |
| Volume | 28 |
| Issue | 1 |
| Pages | 2246781-2246781 |
| Publication date | 2023-08-10 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Medical Education Online (JOURNAL) |
| Journal identifiers | ISSN: 1087-2981 • E-ISSN: 1087-2981 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/10872981.2023.2246781 |
| PMID | 37563880 |
| OpenAlex | W4385752268 |
| Language | EN |
| References cited | 8 |
ANTIRETROVIRAL AGENTS · Antiretroviral therapy · Environmental health · Family medicine · Human immunodeficiency virus (HIV · Medication adherence · Viral load · Artificial Intelligence in Healthcare and Education · COVID-19 diagnosis using AI · Machine Learning in Healthcare · Medicine · Internal Medicine
ChatGPT Utility in Healthcare Education, Research, and Practice
Relationship between viral load and self-report measures of medication adherence among youth with perinatal HIV infection
Factors Related to Incomplete Adherence to Antiretroviral Therapy among Adolescents Attending Three HIV Clinics in the Copperbelt, Zambia
| Highly cited | No |
|---|