AI-assisted analysis
Machine-learning methods help spot patterns and anomalies in data, for example in sensor events or digital health research contexts such as COMFORTage. It supports people; it does not replace them.
Practical benefit
- Earlier signals from large or noisy data
- Prioritises what a human should review
- Can work on top of IoT event streams
Limits
- Only as good as its data and evaluation
- Needs human oversight for any consequential decision
- No blanket claim that AI runs in every NEWCO product
