This paper is concerned with configurations of two-material thermal conductors that minimize
the Dirichlet energy for steady-state diffusion equations with nonlinear boundary conditions …

Objectives To compare the performance of radiologists in characterizing and diagnosing
pulmonary nodules/masses with and without deep learning (DL)–based computer-aided …

Purpose To assess whether transfer learning with a bidirectional encoder representations
from transformers (BERT) model, pretrained on a clinical corpus, can perform sentence-level …

We proposed a bimodal artificial intelligence that integrates patient information with images
to diagnose spinal cord tumors. Our model combines TabNet, a state-of-the-art deep …

In this study, we present a self-supervised learning (SSL)-based model that enables
anatomical structure-based unsupervised anomaly detection (UAD). The model employs an …

Cervical sagittal alignment is an essential parameter for the evaluation of spine disorders.
Manual measurement is time-consuming and burdensome to measurers. Artificial intelligence (…

Background Health-related patient-reported outcomes (HR-PROs) are crucial for assessing
the quality of life among individuals experiencing low back pain. However, manual data …

Background The Japanese Orthopaedic Association National Registry (JOANR) was
recently launched in Japan and is expected to improve the quality of medical care. However, …

This paper is devoted to studying blow-up of solutions to some system of a semilinear damped
wave equation and a semilinear wave equation for small data. In particular, we prove that …

In this article, a new type of comparison theorem for some second-order nonlinear parabolic
systems with nonlinear boundary conditions is given, which can cover classical linear …