Wearable tech could predict surgery complications before they worsen
NCT ID NCT04824066
First seen Jan 09, 2026 · Last updated Apr 28, 2026 · Updated 14 times
Summary
This study involves 1,200 adults undergoing heart or lung surgery. Participants wear a Fitbit, Apple Watch, or Biostrap device to track health data. Researchers use machine learning to analyze this data and detect complications early, potentially improving recovery. The goal is to see if wearable technology can predict problems before they become serious.
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Massachusetts General Hospital
RECRUITINGBoston, Massachusetts, 02114, United States
Contact Phone: •••-•••-•••• Email: •••••@•••••
Conditions
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