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Ashley P. Akerman

Mayo Clinic
H指数:19
被引数:2,107

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Cardiac amyloidosis detection from a single echocardiographic video clip: a novel artificial intelligence-based screening tool

Slivnick, J.A.; Hawkes, W.; Oliveira, J.; Woodward, G.; Akerman, A.; Gomez, A.; Hamza, I.; Desai, V.K.; Barrett-O’kEefe, Z.; Grogan, M.; et al. 通过单次超声心动图视频片段检测心脏淀粉样变性:一种基于人工智能的新型筛查工具。Eur. Heart J. 2025, ehaf387. [Google Scholar] [CrossRef]

2025-07-0110
OAAI
Evaluating the J Wave as a Marker of Diastolic Dysfunction in Heart Failure With Preserved Ejection Fraction

评估J波作为射血分数保留的心力衰竭患者舒张功能障碍的标志物

2025-05-300
PRE
External validation of artificial intelligence for detection of heart failure with preserved ejection fraction (vol 16, 2915, 2025)

人工智能检测射血分数保留的心力衰竭的外部验证(卷16,2915,2025)

2025-04-170
OA
Application of an Artificial Intelligence Model to Detect Heart Failure With Preserved Ejection Fraction to Handheld Ultrasound Imaging

应用人工智能模型检测射血分数保留的心力衰竭与手持超声成像

2025-04-090
OAAI
An Artificial Intelligence Based Model for Heart Failure With Preserved Ejection Fraction Predicts Cardiac Mortality

基于人工智能的射血分数保留的心力衰竭模型预测心脏死亡率

2023-11-070
PRE
Comparison of an Artificial Intelligence Heart Failure Detection Model and Clinical Prediction Models in Patients With Heart Failure With Preserved Ejection Fraction (HFPEF)

射血分数保留心力衰竭 (HFPEF) 患者人工智能心力衰竭检测模型与临床预测模型的比较

2023-11-070
PRE