Published
Life-threatening heart arrhythmias can be difficult to detect but a new deep learning algorithm can evaluate each second of a heart signal and diagnose 14 types of arrhythmia with performance similar to that of cardiologists.
- Category
- Academic
Sign in or sign up to post comments.
Be the first to comment
Up Next
Autoplay
-
02:44
Stanford researchers modify small flying robots to haul heavy loads
-
03:01
Stanford researchers create "Shazam" for mosquitoes
-
02:47
Stanford researchers develop vine-like, growing robot
-
02:56
Stanford researchers develop "brain stethoscope" to detect silent seizures
-
03:05
Stanford Fellowship in Anesthesia Research and Medicine (Stanford FARM Scholars)
-
03:33
Stanford researchers find that swarms of tiny organisms churn ocean waters
-
03:07
Stanford researchers find rice yields plummet in future climate
-
03:02
Stanford researchers reimagine the sink
-
02:48
Stanford researchers develop drone technology to study secrets of San Francisco Bay
-
03:09
Stanford researchers identify brain region activated by Pokémon
-
1:15:33
50 Years of Transforming Lives: The History and Future of Heart Transplant at Stanford
-
05:05
A New and Improved Version Solving Algorithm (Dart Conference 2018)
-
02:51
Stanford engineers develop new tool for designing prosthetic limbs
-
14:23
The Billionaire Algorithm | It Will Change Your Future!
-
02:28
Stanford researcher uses ant network as basis for algorithm
-
02:44
Stanford researchers decode how birds land with ease
-
39:19
TikTok CEO Shou Chew on Its Future — and What Makes Its Algorithm Different | Live at TED2023
-
03:16
Stanford researchers design a touchable, 3D printing display for the visually impaired
-
03:15
Stanford researchers discover new type of cell communication
-
03:48
Stanford researchers decode an ancient, extraordinary animal
-
1:30:28
ALGORITHM: The Hacker Movie
-
02:54
Stanford researchers design solutions for hot hazmat suits
