Objectives To investigate whether a deep learning model can predict the bone mineral
density (BMD) of lumbar vertebrae from unenhanced abdominal computed tomography (CT) …

Objectives It remains difficult to characterize the source of pain in knee joints either using
radiographs or magnetic resonance imaging (MRI). We sought to determine if advanced …

Fine-motor impairment (FMI) is progressively expressed in early Parkinson's Disease (PD)
patients and is now known to be evident in the immediate prodromal stage of the condition …

Single photon emission computed tomography (SPECT) has been employed to detect
Parkinson's disease (PD). However, analysis of the SPECT PD images was mostly based on …

Background The evaluation of neurological examination in clinical practice still remains
qualitative or semi-quantitative, and the results often vary depending on an examiner's skill …

Objectives This study aimed to compare the diagnostic performance of deep learning
algorithm trained by single view (anterior-posterior (AP) or lateral view) with that trained by …

Noninvasive diagnosis of lung cancer in early stages is one task where radiomics helps.
Clinical practice shows that the size of a nodule has high predictive power for malignancy. In …

Objective To study the abnormal brain regions of patients with Parkinson's disease (PD)
using multimodality MRI to provide complementary information for early detection for PD …

In order to reach precision medicine and improve patients' quality of life, machine learning is
increasingly used in medicine. Brain disorders are often complex and heterogeneous, and …