AI + Innovative Healthcare
Supporting better global healthcare access, research and systems through AI.
AI for Good Foundation believes in the positive potential of AI for better equity, access, and the development of real-time public health solutions. Our work spans policy and implementation and we welcome interested partners in supporting AI as an innovative health solution.
Our AI & Innovative Health program falls within the Intelligent Cities Project. Our team works with municipalities globally to assess and implement the sustainable use of AI. In addition to our Intelligent City Assessments, we speak internationally and convene seminars on timely issues affecting AI and innovative healthcare. Topics include: accessibility, bias, private-public partnerships, and feasible roll-out of AI applications.
We advocate for a culture of doctors being evaluated on the health of their population, rather than on outcomes after adverse health events. One of the cornerstones of equity in such a system is access, and access is especially a concern for the elderly, homeless, and children. We believe in equitable healthcare delivery within municipalities and resource-strapped regions. As the world constantly adapts to global health emergencies, especially the COVID-19 pandemic, we support the ethical and strategic use of AI to accelerate progress.
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Introducing the AI & Innovative Health Advisory Committee
James Hodson
CEO, AI for Good Foundation
United States
Asra Haq
Healthcare technology professional
Canada
Senthujan Senka
ML medical researcher and state health professional
Canada
Christian Kauth
Researcher and software developer
Switzerland
Priyanka Challa
Analyst, virtual healthcare for state health system
Canada
Ricky Purnomo
Data analyst, Ministry of Health
Singapore
Tenzin Migmar
ML Research and Sustainable AI Policy Intern at AI for Good
Canada
Katie Johnson
"Healthcare practices are undergoing massive transformational changes globally in response to major events, the current paradigm has been challenged with the recognition of AI augmenting clinical practice. We are entering a new era in which new systems of financing healthcare are emerging, as we move towards a value-based system centered around the patient experience and outcome. AI has the potential to help nations achieve this goal and thus bring us closer to creating equitable, sustainable, and most importantly universal healthcare systems."- Senthujan Senka
Resources
Shared Datasets
Created by the World Health Organization, this dataset captures the number of births that were attended to by skilled health personnel relative to the total number of live births in the same period.
Maternal Mortality refers to the number of pregnancy related deaths per the total number of hospital deliveries per 100,000 live births. The UN has set target 3.1 to reducing maternal mortality; this entry on Our World in Data tracks global data on maternal morality to record progress towards target 3.1.
A repository of global, regional, and country data on immunization that tracks trends in areas such as vaccination coverage and reported cases of vaccine-preventable diseases.
This dataset falls under indicator 3.3.2 for the Global SDG indicator Database which is referenced for the Secretary-General’s annual report on Progress towards the Sustainable Development Goals.
This dashboard visualizes the global COVID-19 situation by region, country, territory, and area.
Global data on the % of the total population pushed into poverty as a result of health care expenditures. This dataset demonstrates the correlation between SDG target 1.1: the eradication of global poverty and SDG 3.8 universal healthcare coverage.
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