AI tailors swallowing therapy: a new hope for dysphagia?

NCT ID NCT07767123

First seen Aug 17, 2026 · Last updated Aug 17, 2026

Summary

This trial is testing whether an artificial intelligence (AI) system can personalize a swallowing rehabilitation program for adults with dysphagia (difficulty swallowing). Participants will receive neuromuscular electrical stimulation to swallowing muscles, with parameters chosen either by AI or by standard methods, over a 6-week period. The study will compare changes in swallowing function, aspiration (food or liquid entering the airway), and eating ability. It also aims to see if AI can accurately detect aspiration using sensor data, potentially offering a less invasive alternative to camera-based tests.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance
Neuromuscular electrical stimulation (NMES) applied to swallowing muscles, with parameters optimized by an AI model
What this could lead to
If successful, this could lead to a more personalized, AI-driven rehabilitation approach that improves swallowing safety and reduces aspiration risk in people with dysphagia.
What could go wrong
This is a small, early-stage study (30 participants) without a control group, so results may not generalize. The AI's accuracy and the long-term benefit of optimized stimulation remain uncertain.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

Deglutition Disorders

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

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Other studies related to the condition(s) this trial covers.