The importance of patient characteristics, operators, and image quality for the accuracy of heart failure diagnosis by general practitioners using handheld ultrasound devices.
Malgorzata Izabela MagelssenAnna Katarina Hjorth-HansenGarrett Newton AndersenTorbjørn GravenJens Olaf KleinauKyrre SkjetneLasse LovstakkenHavard DalenOle Christian MjølstadPublished in: European heart journal. Imaging methods and practice (2023)
The characteristics of patients, operators, and image quality explained just minor parts of the modest accuracy of GPs' HF diagnostics using HUDs with and without decision-support software. Atrial fibrillation and not well-standardized recordings challenged the diagnostic accuracy. However, the accuracy was only modest in well-recorded images, indicating a need for refinement of the technology.
Keyphrases
- image quality
- heart failure
- computed tomography
- atrial fibrillation
- end stage renal disease
- newly diagnosed
- dual energy
- ejection fraction
- chronic kidney disease
- peritoneal dialysis
- prognostic factors
- left ventricular
- deep learning
- machine learning
- optical coherence tomography
- convolutional neural network
- left atrial
- catheter ablation
- magnetic resonance
- coronary artery disease
- ultrasound guided
- acute coronary syndrome
- cardiac resynchronization therapy
- data analysis