Kagiyama, Nobuyuki

Application of mobile health, telemedicine and artificial intelligence to echocardiography

Seetharam, K., Kagiyama, N., & Sengupta, P. P. (2019) · Echo Research & Practice

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 111

Prevalence and prognostic implications of malnutrition as defined by GLIM criteria in elderly patients with heart failure

Hirose, S., Matsue, Y., Kamiya, K., Kagiyama, N., Hiki, M., Dotare, T., Sunayama, T., Konishi, M., Saito, H., Saito, K., et al. (2021) · Clinical Nutrition

Nutrition and Health in AgingHeart Failure Treatment and Management

Cited by 101

Sarcopenic obesity is associated with impaired physical function and mortality in older patients with heart failure: insight from FRAGILE-HF

Saito, H., Matsue, Y., Kamiya, K., Kagiyama, N., Maeda, D., Endo, Y., Ueno, H., Yoshioka, K., Mizukami, A., Saito, K., et al. (2022) · BMC Geriatrics

Nutrition and Health in AgingHeart Failure Treatment and Management

Cited by 78

Artificial intelligence-based point-of-care lung ultrasound for screening COVID-19 pneumoniae: Comparison with CT scans

Kuroda, Y., Kaneko, T., Yoshikawa, H., Uchiyama, S., Nagata, Y., Matsushita, Y., Hiki, M., Minamino, T., Takahashi, K., Daida, H., et al. (2023) · PLOS ONE

Ultrasound in Clinical ApplicationsCOVID-19 diagnosis using AI

Cited by 36