Publications by authors named "H Yamashina"
Article Synopsis
- - In urethra-sparing radiation therapy, a new method using post-urination MRI (PU-MRI) was developed to visualize the prostatic urinary tract without needing a urethral catheter, aimed at reducing urinary side effects.
- - The study involved 30 patients and assessed various super-resolution (SR) deep learning models to enhance the visibility of the prostatic urinary tract, with some models achieving very high image quality scores (mean CW-SSIM over 99%).
- - Results showed that the Residual Dense Network (RDN) model provided the best subjective visibility scores for the prostatic urinary tract as evaluated by radiation oncologists, suggesting that these SR models can significantly improve image clarity.
Article Synopsis
- AI is being increasingly integrated into the medical field, particularly in developed countries like Japan, where its acceptance by both doctors and the public is crucial for successful implementation.
- A study surveyed 399 doctors and 600 public members in Japan to measure their acceptance of AI in medicine, focusing on its potential for diagnosis and treatment without direct doctor involvement.
- Results showed that while a majority believe AI will be necessary in the future, less than half are willing to use it, with doctors more inclined than the public towards its adoption, highlighting concerns around regulation and accountability.
Background: An increasing number of people are visiting hospital websites to seek better services and treatments compared to the past. It is therefore important for hospitals to develop websites to meet the needs of their patients. However, few studies have investigated whether and how the current hospital websites meet the patient's needs.
View Article and Find Full Text PDFBackground: Pharmacists play an important role in promoting people's health in Japan, which has an aging population. Hence, it is necessary that the distribution of pharmacists meets the population's needs in each region. This study projects the future supply and demand for pharmacists in pharmacies to consider an optimal distribution of pharmacists.
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