Smartwatch and ring data could help AI predict Post-Surgery hospital readmissions
NCT ID NCT07349901
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study is testing whether artificial intelligence can predict hospital readmissions in surgical patients by analyzing data from smartwatches and smart rings. About 300 adults undergoing elective surgery will wear these devices before and after their operation, tracking heart rate, sleep, and other health signals. The goal is to see if AI can catch early warning signs of complications that doctors might miss, potentially leading to safer recoveries.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this could give doctors a new tool to spot early signs of trouble after surgery, potentially reducing complications and readmissions.
- What could go wrong
- This is an early-stage observational study, not a treatment trial. The AI models may not prove accurate enough for real-world use, and results may not apply to other hospitals or patient groups.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Getúlio Vargas University Hospital
RECRUITINGManaus, Amazonas, 69020-170, Brazil
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