Enhancing quantitative coronary angiography (QCA) with advanced artificial intelligence: comparison with manual QCA and visual estimation.

Artificial intelligence-based quantitative coronary angiography (AI-QCA) was introduced to address manual QCA's limitations in reproducibility and correction process. The present study aimed to assess the performance of an updated AI-QCA solution (MPXA-2000) in lesion detection and quantification using manual QCA as the reference standard, and to demonstrate its superiority over visual estimation. This multi-center retrospective study analyzed 1,076 coronary angiography images obtained from 420 patients, comparing AI-QCA and visual estimation against manual QCA as the reference standard.

Classifying Mild Cognitive Impairment from Normal Cognition: fMRI Complexity Matches Tau PET Performance.

Background: Tau protein accumulation is closely linked to synaptic and neuronal loss in Alzheimer's disease (AD), resulting in progressive cognitive decline. Although tau-PET imaging is a direct biomarker of tau pathology, it is costly, carries radiation risks, and is not widely accessible. Resting-state functional MRI (rs-fMRI) complexity-an entropy-based measure of BOLD signal variation-has been proposed as a non-invasive surrogate biomarker of early neuronal dysfunction associated with tau pathology.

SEPO-FI: Deep-learning based software to calculate fusion index of muscle cells.

The fusion index is a critical metric for quantitatively assessing the transformation of in vitro muscle cells into myotubes in the biological and medical fields. Traditional methods for calculating this index manually involve the labor-intensive counting of numerous muscle cell nuclei in images, which necessitates determining whether each nucleus is located inside or outside the myotubes, leading to significant inter-observer variation. To address these challenges, this study proposes a three-stage process that integrates the strengths of pattern recognition and deep-learning to automatically calculate the fusion index.

A Multi-Center, Prospective, Observational Study to Evaluate the Therapeutic Effectiveness and Safety of an Olmesartan/Amlodipine Plus Rosuvastatin Combination Treatment in Patients with Concomitant Hypertension and Dyslipidemia.

This study assessed the therapeutic effectiveness of a single-pill combination (SPC) of olmesartan/amlodipine plus rosuvastatin for blood pressure (BP) and low-density lipoprotein cholesterol (LDL-C) in patients with hypertension and dyslipidemia. Adult patients with hypertension and dyslipidemia who were decided to be treated with the study drug were eligible. The primary endpoint was the proportion of patients who achieved BP, LDL-C and both BP and LDL-C treatment goals at weeks 24-48.

The Moderating Effect of Self-Efficacy on Physical Function, Aging Anxiety, and Active Aging in Community-Dwelling Older Adults.

Aging older adults experience psychological anxiety along with declines in physical function, which decreases the level of active aging and physical activity participation. The purpose of this study was to identify the moderating effect of self-efficacy on active aging to improve the occupational participation of community-dwelling older adults. A cross-sectional survey was conducted among older adults in Gwangju and Jeollanamdo using the snowball sampling method.