The most worrisome health challenges in the future, according to LLMs

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What will the most worrisome global health challenge be in the next 30 years?

I asked to ten Large Language Models the same question: "What will the most worrisome global health challenge be in the next 30 years?".

In this quick blog post, you can find a bullet-point summary of their most common answers:

• Antimicrobial resistance: As bacteria, viruses, and fungi evolve to resist existing treatments, AMR could become a formidable challenge, leading to a situation where common infections and minor injuries could once again become deadly. The World Health Organization (WHO) has already flagged AMR as one of the top 10 global public health threats facing humanity (taken from GPT4)
• Climate change: Climate change is expected to have a profound impact on global health, exacerbating existing health challenges and creating new ones. This includes the spread of vector-borne diseases (like malaria and dengue fever) into new areas, increased frequency of heatwaves leading to heat stress and dehydration, and more severe natural disasters affecting public health infrastructure (taken from Reka-Core)
• Non communicable diseases: The problem is that NCDs (like heart disease, cancer, diabetes, and chronic respiratory diseases) are already the leading causes of death globally. Their prevalence is expected to rise further due to aging populations, unhealthy lifestyles, and environmental factors. This is worrisome because NCDs place a significant burden on healthcare systems and economies, impacting individuals, families, and societies. Promoting healthy lifestyles, implementing preventive measures, and ensuring access to affordable and quality healthcare services are essential to address NCDs. (taken from Gemini-1.5 PRO)
• Pandemics and Infectious Diseases: The COVID-19 pandemic has shown us how quickly infectious diseases can spread globally. Future pandemics, such as those caused by influenza, SARS, or MERS, could have devastating consequences. The increasing frequency and severity of outbreaks are exacerbated by factors like global travel, urbanization, and antimicrobial resistance. (taken from Llama-3 70B instruct)
• Inequalities (both in health and in society): Disparities in healthcare access and outcomes will widen, leading to increased health inequities. Ensuring equitable access to quality healthcare will be a major global priority (taken from Gemma-7B 1.1)
• Mental health: Mental health conditions are already a significant burden globally, and the stress and isolation caused by factors such as the COVID-19 pandemic, economic instability, and social unrest are likely to exacerbate this challenge (taken from Qwen-32B-Chat)
• Rising technologies and their ethical implications: The rapid advancement of technology, such as artificial intelligence and gene editing, could also present new challenges and ethical dilemmas in the field of healthcare. While these technologies have the potential to revolutionize healthcare, they also raise complex questions about privacy, equity, and the potential for misuse (taken from CommandR Plus)

Opinions required!

Now that we have read through the answers to our starting issue, there are still two questions that crawl in our minds: can AI be used to advise us on future challenges and suggest solutions? Can we leverage the power of Artificial Intelligence models in order to build a better future for the coming generations?

These interrogatives should concern all of us, as it is today's commitment that defines tomorrow's success: let's be proactive and try to find solutions, then, so that we will be able to give our contribution toward the improvement of humanity and Planet Earth!

Let me know what you think about this topics in the comments below!

The cover image was generated with Pollinations AI

Comments

[Oshrat Nir]

This looks like a regurgitation of what you can typically read anywhere, there is nothing new here in terms of content, it's just an orderly way of listing existing concerns.

I have yet to see AI come up with something new by making new connections and creating novel predictions based on that. Still very much a human competency.

[wolfblast]

here's a better question: can AI create the solution? people can make AI even an inexperienced person can and can improve. Why can't we just make more medical AI but with this knowledge in effect we would have to look at the cons because the pros are good, but the downsides can be the lack of creativity, and AI lack empathy, also here the cons if we relied on that for the medical aspect of your question. and for building a better future it depends and I mean it depends on the circumstances if we want to advance our technology yes it would be good. but the downsides are the over-reliance, losing said skills to do what they AI can and losing jobs to the said AI. and I'm not against AI its just we have to see the two sides of the coin and the edge, and I like to think the edge is the middle ground between the two sides, its what we do with these questions and ponder how should we limit or not limit the use of AI. with this I hope you are satisfied.