Utilization and regional disparities of radiotherapy in cancer treatment in Japan: a longitudinal study using NDB open data.

The National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB) is a database that stores anonymized information on medical receipts and health checkups in Japan. The NDB Open Data is a publicly accessible summary table of the NDB database. To reveal annual trends and regional disparities in radiotherapy utilization in Japan, we analyzed the NDB Open Data tables for a 9-year period from 2014 to 2022.

Possible Involvement of Hippocampal miR-539-3p/Lrp6/Igf1r Axis for Diminished Working Memory in Mice Fed a Low-Carbohydrate and High-Protein Diet.

A low-carbohydrate and high-protein (LC-HP) diet demonstrates favorable impacts on metabolic parameters, albeit it leads to a decline in hippocampal function with the decreased expression of hippocampal insulin-like growth factor-1 receptor (IGF-1R) among healthy mice. However, the precise mechanisms underlying this phenomenon remain unexplored. Eight-week-old male C57BL/6 mice were divided into the LC-HP diet-fed group (25.

Clinical workload profile of medical physics professionals at particle therapy Centers: a National Survey in Japan.

The current research on staffing models is primarily focused on conventional external photon beam therapy, which predominantly involves using linear accelerators. This emphasizes the need for comprehensive studies to understand better and define specific particle therapy facilities' staffing requirements. In a 2022 survey of 25 particle therapy facilities in Japan with an 84% response rate, significant insights were obtained regarding workload distribution, defined as the product of personnel count and task time (person-minutes), for patient-related tasks and equipment quality assurance and quality control (QA/QC).

Application of NotebookLM, a large language model with retrieval-augmented generation, for lung cancer staging.

Purpose: In radiology, large language models (LLMs), including ChatGPT, have recently gained attention, and their utility is being rapidly evaluated. However, concerns have emerged regarding their reliability in clinical applications due to limitations such as hallucinations and insufficient referencing. To address these issues, we focus on the latest technology, retrieval-augmented generation (RAG), which enables LLMs to reference reliable external knowledge (REK).