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Hiroshi Oyama

Showing results (1-10 of 92) with videos related to

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AMIA ... Annual Symposium Proceedings. AMIA Symposium|June 17, 2006
GenoCache: a Genomics and Cancer Chemoprevention portalTeruyoshi Hishiki, Takuro Tamura, Hiroshi Oyama
Computer Methods and Programs in Biomedicine|August 19, 2018
Using machine-learning approaches to predict non-participation in a nationwide general health check-up schemeAkihiro Shimoda, Daisuke Ichikawa, Hiroshi Oyama
International Journal of Surgery (London, England)|May 7, 2022
Augmented reality self-training system for suturing in open surgery: A randomized controlled trialYuri Nagayo, Toki Saito, Hiroshi Oyama
International Journal of Medical Informatics|September 6, 2017
Impact of predicting health-guidance candidates using massive health check-up data: A data-driven analysisDaisuke Ichikawa, Toki Saito, Hiroshi Oyama
International Journal of Medical Informatics|February 10, 2018
Prediction models to identify individuals at risk of metabolic syndrome who are unlikely to participate in a health intervention programAkihiro Shimoda, Daisuke Ichikawa, Hiroshi Oyama
Journal of Medical Systems|June 11, 2026
Feasibility Evaluation of a Standalone Virtual Reality System for Neonatal Resuscitation TrainingShoichiro Amari, Masato Eto, Hiroshi Oyama
Journal of Medical Systems|April 8, 2021
A Novel Suture Training System for Open Surgery Replicating Procedures Performed by Experts Using Augmented RealityYuri Nagayo, Toki Saito, Hiroshi Oyama
Studies in Health Technology and Informatics|November 17, 2004
Practical haptic navigation with clickable 3D region input interface for supporting master-slave type robotic surgeryMegumi Nakao, Keiho Imanishi, Tomohiro Kuroda, et al.
Journal of Biomedical Informatics|September 24, 2016
How can machine-learning methods assist in virtual screening for hyperuricemia? A healthcare machine-learning approachDaisuke Ichikawa, Toki Saito, Waka Ujita, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|January 24, 2007
Computational method of identifying medical complications based on Hospital Information System dataNobuo Shinohara, Hiroshi Oyama, Shiro Matsuya, et al.
Pageof 10

Showing results (1-10 of 92) with videos related to

Sort By:
Pageof 10
AMIA ... Annual Symposium Proceedings. AMIA Symposium|June 17, 2006
GenoCache: a Genomics and Cancer Chemoprevention portalTeruyoshi Hishiki, Takuro Tamura, Hiroshi Oyama
Computer Methods and Programs in Biomedicine|August 19, 2018
Using machine-learning approaches to predict non-participation in a nationwide general health check-up schemeAkihiro Shimoda, Daisuke Ichikawa, Hiroshi Oyama
International Journal of Surgery (London, England)|May 7, 2022
Augmented reality self-training system for suturing in open surgery: A randomized controlled trialYuri Nagayo, Toki Saito, Hiroshi Oyama
International Journal of Medical Informatics|September 6, 2017
Impact of predicting health-guidance candidates using massive health check-up data: A data-driven analysisDaisuke Ichikawa, Toki Saito, Hiroshi Oyama
International Journal of Medical Informatics|February 10, 2018
Prediction models to identify individuals at risk of metabolic syndrome who are unlikely to participate in a health intervention programAkihiro Shimoda, Daisuke Ichikawa, Hiroshi Oyama
Journal of Medical Systems|June 11, 2026
Feasibility Evaluation of a Standalone Virtual Reality System for Neonatal Resuscitation TrainingShoichiro Amari, Masato Eto, Hiroshi Oyama
Journal of Medical Systems|April 8, 2021
A Novel Suture Training System for Open Surgery Replicating Procedures Performed by Experts Using Augmented RealityYuri Nagayo, Toki Saito, Hiroshi Oyama
Studies in Health Technology and Informatics|November 17, 2004
Practical haptic navigation with clickable 3D region input interface for supporting master-slave type robotic surgeryMegumi Nakao, Keiho Imanishi, Tomohiro Kuroda, et al.
Journal of Biomedical Informatics|September 24, 2016
How can machine-learning methods assist in virtual screening for hyperuricemia? A healthcare machine-learning approachDaisuke Ichikawa, Toki Saito, Waka Ujita, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|January 24, 2007
Computational method of identifying medical complications based on Hospital Information System dataNobuo Shinohara, Hiroshi Oyama, Shiro Matsuya, et al.
Pageof 10