Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Ieki

Showing results (221-230 of 257) with videos related to

Pageof 26
Sort By:
NPJ Digital Medicine|November 18, 2025
Artificial intelligence prediction of age from echocardiography as a marker for cardiovascular diseaseMeenal Rawlani, Hirotaka Ieki, Christina Binder, et al.
Circulation Journal : Official Journal of the Japanese Circulation Society|June 28, 2021
Deep Learning Algorithm to Detect Cardiac Sarcoidosis From Echocardiographic MoviesSusumu Katsushika, Satoshi Kodera, Mitsuhiko Nakamoto, et al.
JPEN. Journal of Parenteral and Enteral Nutrition|March 7, 2025
Association between prognostic immune nutritional index and disease-free survival in adults with esophageal cancer following surgery: A retrospective cohort studyShinji Yamashita, Yoshinaga Okugawa, Takahito Kitajima, et al.
International Heart Journal|December 2, 2021
The Effectiveness of a Deep Learning Model to Detect Left Ventricular Systolic Dysfunction from ElectrocardiogramsSusumu Katsushika, Satoshi Kodera, Mitsuhiko Nakamoto, et al.
Circulation. Genomic and Precision Medicine|June 4, 2026
Machine Learning Reveals the Contribution of Rare Genetic Variants and Enhances Risk Prediction for Coronary Artery Disease in the Japanese PopulationHirotaka Ieki, Sai Zhang, Satoshi Koyama, et al.
Nature Genetics|January 18, 2023
Cross-ancestry genome-wide analysis of atrial fibrillation unveils disease biology and enables cardioembolic risk predictionKazuo Miyazawa, Kaoru Ito, Masamichi Ito, et al.
Plos One|October 19, 2020
Novel predictive factors for patient discomfort and severe cough during bronchoscopy: A prospective questionnaire analysisFumi Kobayashi, Takeshi Saraya, Miku Oda, et al.
Communications Medicine|December 9, 2022
Deep learning-based age estimation from chest X-rays indicates cardiovascular prognosisHirotaka Ieki, Kaoru Ito, Mike Saji, et al.
Nature Communications|November 3, 2025
Genome-wide analysis of heart failure yields insights into disease heterogeneity and enables prognostic prediction in the Japanese populationNobuyuki Enzan, Kazuo Miyazawa, Satoshi Koyama, et al.
Circulation. Genomic and Precision Medicine|May 30, 2020
Transethnic Meta-Analysis of Genome-Wide Association Studies Identifies Three New Loci and Characterizes Population-Specific Differences for Coronary Artery DiseaseHiroshi Matsunaga, Kaoru Ito, Masato Akiyama, et al.
Pageof 26

Showing results (221-230 of 257) with videos related to

Sort By:
Pageof 26
NPJ Digital Medicine|November 18, 2025
Artificial intelligence prediction of age from echocardiography as a marker for cardiovascular diseaseMeenal Rawlani, Hirotaka Ieki, Christina Binder, et al.
Circulation Journal : Official Journal of the Japanese Circulation Society|June 28, 2021
Deep Learning Algorithm to Detect Cardiac Sarcoidosis From Echocardiographic MoviesSusumu Katsushika, Satoshi Kodera, Mitsuhiko Nakamoto, et al.
JPEN. Journal of Parenteral and Enteral Nutrition|March 7, 2025
Association between prognostic immune nutritional index and disease-free survival in adults with esophageal cancer following surgery: A retrospective cohort studyShinji Yamashita, Yoshinaga Okugawa, Takahito Kitajima, et al.
International Heart Journal|December 2, 2021
The Effectiveness of a Deep Learning Model to Detect Left Ventricular Systolic Dysfunction from ElectrocardiogramsSusumu Katsushika, Satoshi Kodera, Mitsuhiko Nakamoto, et al.
Circulation. Genomic and Precision Medicine|June 4, 2026
Machine Learning Reveals the Contribution of Rare Genetic Variants and Enhances Risk Prediction for Coronary Artery Disease in the Japanese PopulationHirotaka Ieki, Sai Zhang, Satoshi Koyama, et al.
Nature Genetics|January 18, 2023
Cross-ancestry genome-wide analysis of atrial fibrillation unveils disease biology and enables cardioembolic risk predictionKazuo Miyazawa, Kaoru Ito, Masamichi Ito, et al.
Plos One|October 19, 2020
Novel predictive factors for patient discomfort and severe cough during bronchoscopy: A prospective questionnaire analysisFumi Kobayashi, Takeshi Saraya, Miku Oda, et al.
Communications Medicine|December 9, 2022
Deep learning-based age estimation from chest X-rays indicates cardiovascular prognosisHirotaka Ieki, Kaoru Ito, Mike Saji, et al.
Nature Communications|November 3, 2025
Genome-wide analysis of heart failure yields insights into disease heterogeneity and enables prognostic prediction in the Japanese populationNobuyuki Enzan, Kazuo Miyazawa, Satoshi Koyama, et al.
Circulation. Genomic and Precision Medicine|May 30, 2020
Transethnic Meta-Analysis of Genome-Wide Association Studies Identifies Three New Loci and Characterizes Population-Specific Differences for Coronary Artery DiseaseHiroshi Matsunaga, Kaoru Ito, Masato Akiyama, et al.
Pageof 26