A5037239181- Colorectal Cancer Screening and Detection
- Radiomics and Machine Learning in Medical Imaging
- Viral gastroenteritis research and epidemiology
- Healthcare Policy and Management
- Health Systems, Economic Evaluations, Quality of Life
- Functional Brain Connectivity Studies
- Physical Activity and Health
- Adolescent and Pediatric Healthcare
- Emergency and Acute Care Studies
- Global Cancer Incidence and Screening
- Brain Tumor Detection and Classification
- Pharmaceutical industry and healthcare
- Nursing education and management
- Patient Satisfaction in Healthcare
- Image Retrieval and Classification Techniques
- Healthcare Systems and Reforms
- COVID-19 and Mental Health
- Hepatitis B Virus Studies
- Dementia and Cognitive Impairment Research
- Geriatric Care and Nursing Homes
- AI in cancer detection
- Gastric Cancer Management and Outcomes
- Obesity, Physical Activity, Diet
- Hepatitis Viruses Studies and Epidemiology
- Helicobacter pylori-related gastroenterology studies
Teikyo University
2017-2024
Osaka International Cancer Institute
2024
National Cancer Center
2024
Yamagata University
2020-2022
The role of artificial intelligence in the diagnosis Helicobacter pylori gastritis based on endoscopic images has not been evaluated. We constructed a convolutional neural network (CNN), and evaluated its ability to diagnose H. infection.A 22-layer, deep CNN was pre-trained fine-tuned dataset 32,208 either positive or negative for (first CNN). Another trained using classified according 8 anatomical locations (secondary A separate test data set (11,481 from 397 patients) by CNN, 23...
The use of convolutional neural networks (CNNs) has dramatically advanced our ability to recognize images with machine learning methods. We aimed construct a CNN that could the anatomical location esophagogastroduodenoscopy (EGD) in an appropriate manner. A CNN-based diagnostic program was constructed based on GoogLeNet architecture, and trained 27,335 EGD were categorized into four major locations (larynx, esophagus, stomach duodenum) three subsequent sub-classifications for (upper, middle,...
Introduction While prior research showed gender gaps in industry payments for medical professionals the United States, there are limited data Japan. So, this study seeks to investigate potential gap receipt of pharmaceutical companies (PFCs) across all fields Based on results previous studies, we developed a hypothesis that male doctors get more PFC than female doctors. Materials and methods Data from 92 Japan, covering 2016 2019, were analyzed. The analysis was conducted professors...
Introduction The global shift toward working from home due to the COVID-19 pandemic has led concerns about increased sedentary behavior and its potential impact on work engagement, a critical factor for employee well-being organizational productivity. This study aims explore association between time engagement among workers in Japan post-pandemic environment. Methods cross-sectional analysis utilized data Society Internet Survey (JACSIS), conducted September November 2023, after period....
In recent years, public hospitals have seen an increasing need for management reform in light of social security costs due to the aging population. This study investigated relationship between collaboration with neighboring medical institutions and efficiency hospitals.Data envelopment analysis was used calculate dependent variable. We referral rate each hospital as independent variable indicate active collaboration. Univariate multivariate analyses examined association two variables above....
Abstract Background: The purpose of this study is to evaluate whether the management reform carried out at discretion each public hospital has affected efficiency hospitals. Methods: This was a retrospective cohort hospitals in Japan. dependent variable technical score calculated using data envelopment analysis. independent presence or absence plan. Nine control variables were collected study; location conditions, nursing standards, transfer other accounts ratio, disaster base designation,...