Publication date: Feb 28, 2025
Tuberculosis (TB) is the leading cause of death from an infectious disease globally, with the highest burden in low- and middle-income countries. In these regions, limited healthcare access and high patient-to-provider ratios impede effective patient support, communication, and treatment completion. To bridge this gap, we propose integrating a specialized Large Language Model into an efficacious digital adherence technology to augment interactive communication with treatment supporters. This AI-powered approach, operating within a human-in-the-loop framework, aims to enhance patient engagement and improve TB treatment outcomes.
| Concepts | Keywords |
|---|---|
| Healthamericas | Al |
| Italianisms | Empathy |
| Party | Healthcare |
| Tuberculosis | Linguistic |
| Llm | |
| Models | |
| Patient | |
| Privacy | |
| Prompt | |
| Questions | |
| Rag | |
| Shot | |
| Treatment | |
| Tuberculosis |
Semantics
| Type | Source | Name |
|---|---|---|
| disease | MESH | Tuberculosis |
| pathway | KEGG | Tuberculosis |
| disease | MESH | cause of death |
| disease | MESH | infectious disease |
| pathway | REACTOME | Infectious disease |
| disease | MESH | death |
| disease | MESH | privacy |
| disease | IDO | symptom |
| disease | IDO | intervention |
| disease | IDO | quality |
| disease | MESH | suicide |
| disease | IDO | process |
| disease | MESH | causes |
| disease | MESH | expressed emotions |
| disease | IDO | algorithm |
| disease | MESH | tic |
| drug | DRUGBANK | Methylergometrine |
| drug | DRUGBANK | Gold |
| drug | DRUGBANK | Cysteamine |
| drug | DRUGBANK | Isoxaflutole |
| disease | MESH | anxiety |
| disease | MESH | depression |
| drug | DRUGBANK | Tretamine |
| disease | MESH | Hallucinations |
| disease | MESH | Morbidity |
| drug | DRUGBANK | (S)-Des-Me-Ampa |
| drug | DRUGBANK | Guanosine |
| disease | IDO | history |
| drug | DRUGBANK | Midazolam |
| drug | DRUGBANK | Coal tar |