Making Artificial Intelligence Lemonade Out of Data Lemons: Adaptation of a Public Apical Echo Database for Creation of a Subxiphoid Visual Estimation Automatic Ejection Fraction Machine Learning Algorithm.
Michael BlaivasLaura N BlaivasKendra CampbellJoseph ThomasSonia ShahKabir YadavYiju Teresa LiuPublished in: Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine (2021)
Researchers successfully adapted unrelated ultrasound window data to train a POCUS ML algorithm with fair MAE using data manipulation to simulate a different ultrasound examination. This may be important for future POCUS algorithm design to help overcome a paucity of POCUS databases.
Keyphrases
- machine learning
- big data
- artificial intelligence
- deep learning
- ejection fraction
- electronic health record
- magnetic resonance imaging
- aortic stenosis
- healthcare
- magnetic resonance
- mental health
- high resolution
- mass spectrometry
- computed tomography
- adverse drug
- data analysis
- ultrasound guided
- contrast enhanced ultrasound
- coronary artery disease