Can AI Predict Falls? What Detection and Risk Scores Mean

Round smartwatch resting on a desk beside a keyboard and mouse.

AI can be used to estimate fall risk from recorded information. That is different from knowing that a particular person will fall tonight. A watch that detects a hard fall is doing something different again: trying to recognize an event after it happens.

For adults planning ahead or helping a parent choose technology, these distinctions matter more than the phrase “AI-powered.” Start by asking exactly what the product measures, what it claims and who is expected to respond.

Separate three different jobs

  • Risk estimation: using information about a person to estimate the likelihood of a future fall over a stated period.
  • Fall detection: identifying an event that may already have happened and potentially sending an alert.
  • Prevention: taking appropriate actions to reduce risk, with the person and their care team.

A successful demonstration of detection does not prove prediction. A higher risk score does not mean a fall is certain. Equally, a low score or a quiet device is not an assurance that someone is safe.

What research can—and cannot—show

A 2025 study in PLOS One used two-year data from a Korean aging cohort to develop a fall-risk model for older adults with cognitive frailty. Its authors identified limits to applying results from that population and setting elsewhere, and called for further validation.

Our reading of that research is that it supports investigating clinical risk assessment, not a promise that an ordinary smartwatch can warn anyone seconds before a fall. The study did not test every consumer product or demonstrate that buying one would prevent injury.

Frailty assessment also involves more than a daily step count. If you notice a change in strength, walking or everyday function, discuss it with a clinician. Do not ask a general chatbot to diagnose frailty from a video or assign a personal safety score.

Check the actual alert behavior

As one example, Apple’s Fall Detection documentation explains that supported watches can detect some hard falls and help contact emergency services under specified conditions. Apple explicitly notes that the feature cannot detect all falls and may mistake high-impact activity for one. Connectivity and settings also affect what happens.

This is an example of reading the manufacturer’s instructions, not a recommendation that the device suits everyone. Use the instructions for your exact model, software, country and service plan. The illustrative watch photograph here does not establish the capabilities of that watch.

Ask six questions before paying

  1. Does it estimate risk, detect falls or merely record activity? Ask for the exact intended use.
  2. Was it tested with people and homes similar to yours? Ask about missed events as well as false alarms.
  3. Does someone have to wear, charge, position or activate it for it to work?
  4. Who receives the alert: a relative, a monitoring center or emergency services? What happens if the first person does not answer?
  5. What happens during lost internet, depleted batteries or a canceled subscription?
  6. What data is collected, who can view it and can the resident turn monitoring off?

Ask for answers in writing. “Continuous protection” is too vague to tell you whether a specific room is covered or whether anyone is actually available to respond overnight.

Make the response plan practical

Agree on contacts and backup contacts with the person being monitored. Check that they understand the device, consent to its use and know how to request help directly. Review the manufacturer’s approved testing procedure; never stage a fall to test a sensor.

Discuss confusing alerts and missed events with the provider. Do not quietly disable alerts without replacing the agreed response arrangements. For an apparent emergency, seek emergency help directly rather than waiting for a prediction or an app notification.

Start with ordinary prevention too

The CDC provides fall-prevention resources and clinician assessment tools. Bring questions about personal fall risk to a health professional, and use our home-safety checklist workflow to organize household concerns.

AI may contribute useful information to a wider plan. Its value depends on evidence, appropriate setup and a real response—not on a reassuring dashboard alone.

Reviewed September 30, 2026. Prepared with AI assistance and checked against the sources linked in this article. Examples are illustrative. Read our editorial and information disclaimer.

Illustrative photo by Al Amin Mir on Unsplash.

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