The factor structure of "expectant mothers of concern" as perceived by midwives.

Aim: To clarify the factor structure of "expectant mothers of concern" for whom midwives anticipate difficulties in future childrearing.

Methods: The participants were 2633 midwives working at hospitals and clinics in Japan. Data were collected using a 108-item, five-point Likert scale questionnaire about the behaviors, appearance, and family relationships of the expectant mothers of concern to the nurses.

Prognostication of Ovarian Function after Ovarian Torsion Using Intraoperative Indocyanine Green Angiography.

Study Objective: To quantitatively evaluate the blood flow in ovaries (ischemic ovaries) that underwent torsion using indocyanine green angiography (ICGA) and assess the use of ICGA as an indicator for functional preservation of the ovaries.

Design: In vivo animal study.

Setting: The University of Yamanashi Animal Experimentation Center.

Random forest approach for determining risk prediction and predictive factors of type 2 diabetes: large-scale health check-up data in Japan.

Introduction: Early intervention in type 2 diabetes can prevent exacerbation of insulin resistance. More effective interventions can be implemented by early and precise prediction of the change in glycated haemoglobin A1c (HbA1c). Artificial intelligence (AI), which has been introduced into various medical fields, may be useful in predicting changes in HbA1c.

Automated Volumetry of Medial Temporal Lobe Subregions in Mild Cognitive Impairment and Alzheimer Disease.

Purpose: Hippocampal subfield volumetry should be more useful than whole hippocampal (WH) volumetry for diagnosing Alzheimer disease (AD). This study sought to confirm this.

Methods: We investigated cognitively normal (CN) participants and patients with mild cognitive impairment (MCI) or AD using high-resolution T2-weighted and 3-dimensional T1-weighted magnetic resonance imaging.