©FIND/Ben Phillips

Artificial intelligence has the potential to transform diagnosis

Recent advancements in the use of AI range from tools that can help individuals self-triage (such as chatbots), to tools focusing on improved healthcare provider capacity and decision making (such as clinical decision support tools and imaging analysis tools) and those aimed at improving efficiency of programmatic interventions (such as AI-based surveillance).

As with any technological shift, the deployment of AI-based diagnostic tools can have impacts that may not be fully anticipated in advance. As countries look to integrate these technologies in their health systems, a variety of considerations around infrastructure, costs, data management, economical and societal impact need to be kept in mind. Availability of harmonized and feasible regulatory and policy pathways, as well as regulatory capacity, are critical for robust evaluation and integration of AI-based technologies. A collaborative environment that brings together policy makers, innovators, implementers and other stakeholders is essential to ensuring impactful and appropriate use of AI-based diagnostics.

FIND is actively working on the integration of AI in healthcare, focusing on evaluation and policy development for AI-based diagnostics, driving forward product landscaping and development, and collaborating with key partners to foster the responsible use of AI.

Landscape on AI-assisted diagnostics

(PDF, 6.86 MB, 22 pages)

This report covers AI technologies to support diagnosis of tuberculosis, COVID-19, and other respiratory disease in low- and middle-income countries.

Find out more about our work in digital health

We are working to leverage digital tools to ensure equitable and timely access to reliable diagnosis.

Diagnostics Day 2024

Check out our full agenda for Diagnostics Day.