Purpose This contribution explores the underuse of artificial intelligence (AI) in the health
sector, what this means for practice, and how much the underuse can cost. Attention is …

Objective: Tuberculosis (TB) is a public health problem, especially among people
experiencing homelessness (PEH). The Advisory Council for the Elimination of Tuberculosis …

BACKGROUND: Video directly observed therapy (vDOT) was introduced to increase
flexibility and meet patient-specific needs for TB treatment. This study aimed to assess the …

Introduction This systematic review and meta-analysis synthesized evidence in the effects of
video-observed therapy versus that of directly observed therapy on medication adherence …

Background Treatment for tuberculosis lasts for a minimum of 6 months. The treatment
burden experienced by patients in a low-incidence setting where directly observed therapy …

Background: Artificial intelligence (AI) applications based on advanced deep learning
methods in image recognition tasks can increase efficiency in the monitoring of medication …

Background: Technology-based directly observed therapy (DOT) is more cost-effective and
efficient compared with in-person monitoring visits for medication adherence. While some …

Background Nonadherence to treatment remains a barrier to tuberculosis (TB) control.
Directly observed therapy (DOT) is the standard for monitoring adherence to TB treatment …

Background The 2016 US clinical practice guidelines for TB treatment recommend DOT as
the standard of care (1). During DOT, a health care worker observes patients ingest their …

Background In-person directly observed therapy (DOT) is standard of care for tuberculosis
(TB) treatment adherence monitoring in the US, with increasing use of video-DOT (vDOT). In …