AI vs. Dementia: How Technology is Rewriting the Rules of Detection
- Jonathan Sabarre
- Aug 14
- 3 min read

We’re living in a world where artificial intelligence can detect skin cancer, translate languages in real time, and even compose symphonies. So why are we still diagnosing dementia using the same tools we used decades ago?
The truth is, while dementia affects nearly one million people in the UK, diagnosis is often delayed until after the damage is done. By the time traditional tests confirm cognitive decline, the condition has already progressed, and families are left with fewer options.
At SynaptiSense, we believe AI is the key to changing that reality.
The Diagnostic Gap
Current diagnostic methods — like memory recall tests or MRI scans — are valuable, but they come with limitations:
They require access to specialists.
They tend to detect problems only once symptoms are pronounced.
They often miss subtle, early signs that precede measurable decline.
As a result, people are diagnosed too late — when interventions are less effective and quality of life has already begun to decline. This delay can cost families more than time. It can cost independence, emotional well-being, and financial security.
AI offers a different path — one based on pattern recognition, predictive modelling, and continuous insight.
What AI Does Differently
Artificial intelligence thrives where humans and conventional systems struggle: with early, complex, and subtle data patterns. At SynaptiSense, we’re developing an AI-powered tool that analyses four behavioural and biological streams to identify dementia risk 5–7 years before symptoms appear.
These include:
Speech patterns – tracking shifts in word usage, sentence structure, and pacing
Cognitive game results – monitoring how people respond to challenges over time
Wearable metrics – such as heart rate variability, sleep quality, and step count
Behavioural signals – like changes in routine, app usage, or motor activity
Using AI, we can synthesise this diverse information to detect micro-changes invisible to the human eye — but highly predictive of future decline.
This isn’t science fiction. It’s evidence-based, user-tested, and rapidly becoming a new frontier in proactive healthcare.
Accuracy and Accessibility
In early testing, our platform has already achieved:
96% accuracy in wearable data biomarker identification
A 4.9/5 star rating from users of our cognitive app prototype
Strong engagement from individuals spending 18+ minutes per day on cognitive tasks
But perhaps most importantly, our approach doesn’t rely on hospital visits or invasive tests. It’s designed to be accessible, affordable, and delivered through technology you already use — your smartphone and wearable device.
This democratisation of dementia detection could shift the focus of brain health from clinical settings to everyday living.
Why This Matters Now
AI has already revolutionised how we bank, shop, and travel. It’s time it did the same for healthcare — particularly for conditions like dementia, where time is everything.
An earlier diagnosis means more time to:
Plan for the future
Access support
Start interventions
Preserve quality of life
And for healthcare systems like the NHS, AI-powered early detection could reduce economic strain, ease patient load, and increase effectiveness of services.
The earlier we detect dementia, the more we can do about it. That’s the power of AI — and it’s a future SynaptiSense is building right now.
👥 Be Part of the Shift
SynaptiSense isn’t on the market yet — but it soon will be. We’re preparing for clinical trials and regulatory approval, and we want you to help shape this journey.
Whether you’re 40 and proactive, or 60 and curious, you can be among the first to experience what AI-powered brain health looks like.
📣 Sign Up for Early Access
Get notified when our platform launches
Access insights and updates from our research team
Help drive innovation in dementia prevention
AI isn’t just changing the future. It’s protecting it.👉 Join the early access list now and take control of your brain health before symptoms begin.
_edited.png)



Comments