AI aids in enhancing health outcomes by swiftly and precisely detecting and diagnosing diseases. In this chart we see the relations between CVD, cancer, diabetes or CRD through the mortality between exact ages 30 and 70 (%).

This perspective offers a real-time view of the worldwide news on health-related topics, providing us with a media perspective on the progress at the different fronts of SDG 3.

A SDG Live Report is what it is all about! Here, you can have a real-time perspective of the state of the world in regard to AI and sustainability, tracking some of the main issues to address in the near future.

 

The impact of AI on the progress of Sustainable Development Goal 3 (SDG 3), which aims to ensure healthy lives and promote well-being for all at all ages, has been profound and multifaceted. Between 2015 and 2023, there have been 2,548,307 scientific publications exploring the impact of AI on health and well-being, highlighting AI’s role in revolutionizing healthcare through advancements in medical imaging, diagnostics, personalized medicine, and predictive analytics. These studies underscore AI’s potential to enhance disease detection, improve treatment outcomes, and optimize healthcare delivery systems. Media exposure, with 53,626 news articles, reflects a growing public interest and awareness of AI’s transformative effects on health. Additionally, the development of 2,056 AI policies targeting SDG 3 demonstrates a significant commitment from policymakers to harness AI for public health improvement, focusing on ethical considerations, data privacy, and equitable access to AI-driven healthcare solutions.

Looking ahead, the next 5 to 10 years are poised to witness significant advancements in AI applications for health, driven by the ongoing growth in research, media engagement, and supportive policies. We can expect AI to play a crucial role in advancing telemedicine, enhancing remote patient monitoring, and enabling real-time health data analysis. These developments will be particularly beneficial in addressing healthcare disparities, providing access to quality healthcare in underserved regions, and managing public health crises. Moreover, AI’s integration into drug discovery and genomics will accelerate the development of personalized treatments and vaccines, improving patient outcomes and reducing healthcare costs. As AI technologies become more sophisticated and widely adopted, collaboration between governments, healthcare providers, and tech companies will be essential to ensure that AI-driven innovations contribute to a healthier and more equitable world, aligning with the goals of SDG 3.

Here is your window to the world’s progress in improving global health. This dashboard is configurable and can be integrated into other systems to bring actionable technology into the systems of research institutions, governments and enterprises that are willing to make a difference.

 

Avoiding data bias in AI systems is crucial to ensure fair, accurate, and equitable outcomes, preventing the reinforcement of existing inequalities and enabling more trustworthy and inclusive technologies. Here you will see a dashboard analysing the bias related to the data ingested in this observatory for SDG 3.