Pregnancy

Comparative Effectiveness of AI-Assisted Telerehabilitation, Telerehabilitation, In-Person Care, and Usual Care for Chronic Nonspecific Low Back Pain: Bayesian Network Meta-Analysis.

BACKGROUND: Guided exercise is central to rehabilitation for chronic nonspecific low back pain. Telerehabilitation enables remote delivery of guided exercise, but its effectiveness vs other rehabilitation modalities remains uncertain. OBJECTIVE: This review systematically assessed the comparative efficacy of telerehabilitation, in-person rehabilitation (IPR), and usual care (UC) for improving pain...

Multi-scale and context-aware enhanced YOLOv8 for breast tumor detection in ultrasound images.

Early and accurate detection of breast tumors via ultrasound imaging is paramount for effective clinical intervention. While single-stage object detectors offer vital real-time processing capabilities, their efficacy in the medical domain is severely constrained by spatial information degradation during downsampling, insufficient multi-scale feature representation, and high susceptibility to false...

A predictive model for pathological complete response in neoadjuvant-treated breast cancer: integrating pretreatment clinicopathologic and contrast-enhanced ultrasound characteristics via interpretable machine learning.

BACKGROUND: The ability to predict pathological complete response (pCR) prior to neoadjuvant therapy (NAT) would inform and facilitate tailored therap...

Development and validation of machine learning models for obstructive sleep apnea risk stratification in high-risk pregnant women.

BACKGROUND: Obstructive sleep apnea (OSA) affects approximately 15% of pregnancies and is associated with adverse maternal and fetal outcomes. Althoug...

Ultrasound-assisted cocrystal of emodin and matrine: An opportunity to improve synergistic bioavailability.

Drug-drug cocrystal technology especially for natural products, can optimize the physicochemical properties of drugs without altering their chemical s...

Automated generation of structured breast ultrasound reports using BreastViT and ChatGPT.

BACKGROUND: Breast cancer is the most common malignancy in women. Ultrasound plays a critical role in dense breasts, and BI-RADS provides a standardiz...

Who benefits most? A randomized controlled trial for Parent-implemented social communication intervention for chinese-speaking autistic preschoolers.

BACKGROUND: Parent-implemented interventions (PIIs) are well established for improving developmental outcomes in autistic children. As evidence has ac...

Dosimetry of Inhaled Aerosols: From Exposure to Target Tissue Dose in Risk Assessment and Drug Delivery.

Inhaled aerosol dosimetry is a critical discipline bridging exposure to biological effect in both therapeutic and toxicological contexts. This review ...

Performance of the Pre-Eclampsia Integrated Estimate of Risk-Machine Learning (PIERS-ML) model in a Kenyan cohort of women with pre-eclampsia- a retrospective test derivation validation study.

OBJECTIVE: Pre-eclampsia is a cause of significant maternal morbidity and mortality, with delivery initiating resolution. The Pre-eclampsia Integrated...

Lipid digestion- driven drug fate as a key determinant of SNEDDS performance: Mechanistic basis of absorption and in vitro- in vivo disconnect.

Self-nanoemulsifying drug delivery systems (SNEDDS) represent a major class of lipid-based nanomedicines that are primarily utilised for the enhanceme...

An adaptive attention U-network for recognizing ultrasound images.

ObjectiveThe traditional method of intraspinal anesthesia relies on surface anatomical landmarks for positioning, which is associated with a low accur...

Machine learning for risk stratification of hypertensive disorders of pregnancy: Enhancing clinical efficiency in low-resource antenatal care in Tanzania.

Maternal mortality in Tanzania remains a public health crisis, with Hypertensive Disorders of Pregnancy (HDP) causing 34% of direct obstetric deaths. ...

Research on the impact of artificial intelligence on the export technological complexity of chinese manufacturing enterprises: An analysis based on mediating effects.

Technological innovation drives high-quality economic development, and artificial intelligence (AI) represents a new impetus for developing productive...

Expatriate health care workers in Saudi Arabia: Exploring workforce integration, advantages, and challenges in a globalized health care system.

BACKGROUND: Effective expatriate management has become crucial in the health care sector, driven by the growing number of globally mobile professional...

Dual-mode analysis of ischemic stroke based on urine SERS spectra and carotid B-ultrasound.

Achieving noninvasive high-frequency monitoring of ischemic stroke (IS) remains a major clinical challenge for timely intervention and precise seconda...

An easier government? The impact of digital government platform on government employee overtime.

BackgroundOvertime serves as an indicator of bureaucrats' efficiency. If excessive, it may undermine the country's long-term capacity to fulfill its r...

Development of a predictive model for preeclampsia utilizing time-of-flight mass spectrometry based on novel nanomaterials integrated with machine learning.

BACKGROUND: Preeclampsia (PE) is a serious complication of pregnancy, causing irreversible damage to multiple systems and organs of both mother and ba...

Identification of exosomal miRNA-based predictive signatures for gestational diabetes mellitus via multi-algorithm machine learning.

BACKGROUND: Gestational diabetes mellitus (GDM) is a common metabolic disorder during pregnancy, leading to adverse maternal and neonatal outcomes. Ex...

Machine learning-based risk assessment of neonatal perinatal adverse outcomes of anemia during pregnancy: a modeling study.

BACKGROUND: Gestational anemia significantly elevates the risk of adverse maternal and neonatal outcomes, necessitating early predictive tools for tar...

Lung ultrasound feature tracking to quantify regional lung strain in mechanically ventilated pigs.

BACKGROUND: In patients requiring respiratory support, clinicians rely on physical exam, radiologic, laboratory, and ventilator-derived measures for t...