AI’s new trick is predicting when you’re going to die
Every year over 7,000 people in the UK die from pulmonary heart disease die, and this technology could help save their lives
Key takeaways
- At the moment there are a mix of treatments available to treat the condition which involves anything from drugs, injections straight into the blood vessels, and in the worst cases, a lung transplant.
- The AI was given MRI scans of 256 patients' hearts, and blood test results, and it measured the movement of over 30,000 different individual points in the organ's structure during each a heartbeat.
- When this data was combined with eight years of patient health records, the AI learned which abnormalities predicted when patients would die.
Cite or link to this article
Griffin, M. (2017) 'AI’s new trick is predicting when you’re going to die', 311 Institute, 30 March. Available at: https://www.311institute.com/ais-new-trick-is-predicting-when-youre-going-to-die/ (Accessed: 1 October 2026).
You could argue that artificial intelligence (AI) is already spooky enough. Whether we’re dreaming up new ways in which we think it can destroy us, or just because of the fact that it’s gaining on us in new and exciting ways, but now it seems to have gained a new skill, one that even the best doctors have trouble with – it can predict when we’re going to die.
Yes, I know it’s shocking news but please, don’t have a heart attack about it, because that’s when we’ll turn it on you. Because, you see, being more specific, it can predict when patients with a heart disorder are going to clock out. And that’s a good thing.
A team from the UK’s Medical Research Council (MRC) have announced that their AI first learned how to analyse blood tests and the scans of beating hearts to spot when they were about to fail, and the MRC says the technology could help save lives by discovering patients who need more aggressive, or special, treatment. The results were published in the journal Radiology.
AI produced 3D heart model predicts time of death
The researchers were investigating patients with pulmonary hypertension, a condition where high blood pressure in the lungs damages part of the heart, and where about a third of patients die within five years of being diagnosed.
At the moment there are a mix of treatments available to treat the condition which involves anything from drugs, injections straight into the blood vessels, and in the worst cases, a lung transplant. But in order for the doctors to pick the right treatment they first have to know how long the patient has to live, and that’s where their new AI buddy comes in.
The AI was given MRI scans of 256 patients' hearts, and blood test results, and it measured the movement of over 30,000 different individual points in the organ's structure during each a heartbeat.
When this data was combined with eight years of patient health records, the AI learned which abnormalities predicted when patients would die. Even better – it can look about five years into the future, and the result?
Well, it correctly predicted those who would still be alive after a year 80% of the time, which bearing in mind it’s a new system and even the very best doctors only get it right about 60% of the time means that, in short, it shows promise.
"The AI really allows you to tailor the individual treatment, so it takes the results of dozens of different tests including imaging, to predict what's going to happen to individual patients very accurately,” said Dr Declan O'Regan, one of the researchers, “so we can tailor getting absolutely the right intensive treatment to those who will benefit the most."
The team now want to test that the AI works for other patients in different hospitals before assessing whether it should be made widely available to doctors, and eventually they want to use it to help them treat other forms of heart failure, such as cardiomyopathy, to see who might need a pacemaker, or other forms of treatment.
"This exciting use of computer software in clinical practice will help doctors in the future to make sure that patients are receiving the correct treatment before the condition deteriorates and leaves them needing a lung transplant,” said Dr Mike Knapton, from the British Heart Foundation,” the next step is to test this technology in more hospitals."
One day, however, if this single use AI works as well as it has so far then no doubt we'll see the day come when an AI can predict when any one of us might die - whether or not we're ill at the time, and no matter how far off it might be. After all, if it can gather and correlate enough data about you - from your environment and lifestyle, to your diet, genetic make up and health then, arguably, it could create an awesome model to predict your "estimated time of death," and when it manages to do all that, then one day it'll be able to give you tips on how to keep the Grim Reaper at bay...
FAQ
Why does this matter?
Every year over 7,000 people in the UK die from pulmonary heart disease die, and this technology could help save their lives

About the author
Matthew Griffin Founder, 311 Institute
Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."
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Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 15-time best selling author of the "Codex of the Future" series, Matthew is the Founder and Futurist in Chief of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.
An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity program, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.
As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.
Regularly featured in the global media including the AP, BBC, Bloomberg, CNBC, Discovery, Forbes, Khaleej Times, Telegraph, TIME, ViacomCBS, WIRED, and the WSJ, Matthews mission is to help organisations create a fair and sustainable future whose benefits are shared by everyone irrespective of their ability, background, or circumstances.
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Sources and further reading
- Medical Research Council mrc.ac.uk
- Radiology pubs.rsna.org
- British Heart Foundation bhf.org.uk
Source: first published by the 311 Institute on 30 March 2017. Cite as: Griffin, M. (2017). AI’s new trick is predicting when you’re going to die. 311 Institute. https://www.311institute.com/ais-new-trick-is-predicting-when-youre-going-to-die/
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