Ashley, Euan A.

Multimodal deep learning enhances diagnostic precision in left ventricular hypertrophy

Soto, J. T., Weston Hughes, J., Sanchez, P. A., Perez, M., Ouyang, D., & Ashley, E. A. (2022) · European Heart Journal - Digital Health

Cardiomyopathy and Myosin StudiesArtificial Intelligence in Healthcare

Cited by 76

Human Genome Sequencing at the Population Scale: A Primer on High-Throughput DNA Sequencing and Analysis

Goldfeder, R. L., Wall, D. P., Khoury, M. J., Ioannidis, J. P. A., & Ashley, E. A. (2017) · American Journal of Epidemiology

Genomics and Phylogenetic StudiesGenomics and Rare Diseases

Cited by 75

Deep learning evaluation of biomarkers from echocardiogram videos

Hughes, J. W., Yuan, N., He, B., Ouyang, J., Ebinger, J., Botting, P., Lee, J., Theurer, J., Tooley, J. E., Nieman, K., et al. (2021) · EBioMedicine

Artificial Intelligence in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 71

Race, Sex, and Age Disparities in the Performance of ECG Deep Learning Models Predicting Heart Failure

Kaur, D., Hughes, J. W., Rogers, A. J., Kang, G., Narayan, S. M., Ashley, E. A., & Perez, M. V. (2024) · Circulation: Heart Failure

Artificial Intelligence in HealthcareECG Monitoring and Analysis

Cited by 58

Cardiac splicing as a diagnostic and therapeutic target

Gotthardt, M., Badillo-Lisakowski, V., Parikh, V. N., Ashley, E., Furtado, M., Carmo-Fonseca, M., Schudy, S., Meder, B., Grosch, M., Steinmetz, L., et al. (2023) · Nature Reviews Cardiology

RNA Research and SplicingCardiac electrophysiology and arrhythmias

Cited by 46

APOE loss-of-function variants: Compatible with longevity and associated with resistance to Alzheimer’s disease pathology

Chemparathy, A., Le Guen, Y., Chen, S., Lee, E.-G., Leong, L., Gorzynski, J. E., Jensen, T. D., Ferrasse, A., Xu, G., Xiang, H., et al. (2024) · Neuron

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 43

Deep learning to detect left ventricular structural abnormalities in chest X-rays

Bhave, S., Rodriguez, V., Poterucha, T., Mutasa, S., Aberle, D., Capaccione, K. M., Chen, Y., Dsouza, B., Dumeer, S., Goldstein, J., et al. (2024) · European Heart Journal

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Cited by 38

Commonalities across computational workflows for uncovering explanatory variants in undiagnosed cases

Kobren, S. N., Baldridge, D., Velinder, M., Krier, J. B., LeBlanc, K., Esteves, C., Pusey, B. N., Züchner, S., Blue, E., Lee, H., et al. (2021) · Genetics in Medicine

Genomics and Rare DiseasesGenomics and Phylogenetic Studies

Cited by 27