A systematic review assessing how effective AI-based tools are for preventing cardiovascular disease.

International Conference on Artificial Intelligence in Medicine (AIME), pp. 228-232 · 2027

Describes a multi-phase program to build a framework, toolkit, and reporting standard for using AI responsibly in implementation science practice and research.

Implementation Science 21(1), 37 · 2026

A pilot study finding that training private primary care providers in Patna, India on the WHO AWaRe antibiotic handbook modestly improved antibiotic-prescribing knowledge, especially among informal providers.

Antimicrobial Resistance & Infection Control 15(1), 67 · 2026

Protocol for a pilot randomised controlled trial testing a participatory, community-engagement intervention to prevent dementia in socially isolated older adults in rural Botswana and urban Montreal.

BMJ Open 16(9), e121064 · 2026

Living scoping review mapping how AI is actually being applied across implementation-science practice and research.

Implementation Science · 2026

Qualitative interviews with women at elevated cardiovascular risk reveal gaps in their understanding of heart disease and mixed but generally open views toward an AI-enabled prevention tool (Xi-Care).

Family Practice 43(4), cmag041 · 2026

A scoping review of 37 studies finding that informal healthcare providers in low- and middle-income countries dispense antibiotics widely and inconsistently, a gap largely missed by antimicrobial-resistance surveillance.

BMJ Global Health 11(6), e023208 · 2026

Externally validating AI cough-sound models for TB screening on an independent Peruvian cohort shows a marked drop in accuracy versus internal validation, exposing poor generalizability across settings.

Scientific Reports · 2026