Pregnancy

Predicting De Novo Stress Urinary Incontinence After Colpocleisis Using Clinical and Pelvic Floor Ultrasound Parameters: Development and Internal Validation of a Multimodal Model.

INTRODUCTION AND HYPOTHESIS: De novo stress urinary incontinence (SUI) remains a clinically relevant complication after colpocleisis for advanced pelvic organ prolapse (POP), and reliable preoperative risk stratification remains limited. We aimed to develop and internally validate a multimodal prediction model incorporating clinical and pelvic floor ultrasound parameters to estimate the risk of de...

Technical challenges in autonomous robotic ultrasound examinations: perception, planning, and control.

Ultrasound is one of the most widely used medical imaging modalities in clinical practice. Robot-assisted ultrasound systems (RAUS) offer significant advantages in reducing physician workload and improving imaging standardization. However, the dynamic and complex nature of the human physiological environment severely hinders the transition of RAUS from automation to full autonomy. This paper prese...

AI-driven text mining of the female reproductive system: enabling multiscale biomedical modeling and personalized medicine.

The female reproductive system, including the endometrium, placenta, ovary, cervix, and fallopian tube, plays a critical role in conception, implantat...

Care ethics and the transformation of care in an age of artificial intelligence.

BACKGROUND: The integration of artificial intelligence (AI) and care robots into healthcare raises a central ethical question: what constitutes care, ...

Predicting facility delivery and its determinants among reproductive-age women in Ethiopia using machine learning algorithm: evidence from performance monitoring for action Ethiopia 2019 dataset.

BACKGROUND: Facility delivery attended by skilled health professionals is a critical strategy for reducing maternal and neonatal mortality. Despite su...

A bibliometric analysis of the association between ultrasound and sarcopenia: Trends, networks, and future directions.

OBJECTIVE: With the escalating global prevalence of sarcopenia, the demand for effective diagnostic tools is critical. While ultrasound shows promise ...

Ultrasound-Mediated Thrombolysis: From Mechanistic Insights to Advanced Nanoplatforms and Clinical Translation.

Although pharmacological thrombolysis and mechanical thrombectomy are standard treatments for thromboembolic diseases, they are limited by hemorrhagic...

Towards an accessible, centralised, searchable database for AI courses in Europe: the Artificial Intelligence in Medical Imaging and Radiation Oncology Education (AIMIROE) project.

OBJECTIVE: Artificial intelligence (AI) is transforming medical imaging and radiation oncology, yet limited understanding and access to education hind...

Creation of an mHealth Infrastructure to Support the Development and Delivery of mHealth Interventions: Protocol for Demonstration Projects Addressing Smoking Cessation in Cancer Care.

BACKGROUND: Cancer remains a leading cause of morbidity worldwide. To reduce this burden, scalable, effective approaches are needed to address modifia...

Geometry aware neural radiance fields for freehand ultrasound reconstruction.

Reconstructing 3D volumes from 2D freehand ultrasound (US) is a challenging task. During reconstruction, the ensuing overlap between sweeps can cause ...

Toward equitable digital health: an integrated framework addressing exclusion, ethics, and implementation across healthcare systems.

BACKGROUND: Digital health technologies are fundamentally reshaping healthcare delivery, access, and governance worldwide. While these innovations off...

Machine learning and natural language processing for the identification of potential mental disorders among school-age children: a prospective birth cohort study.

BACKGROUND: Early identification of childhood mental health disorders is a critical public health objective. Existing screening approaches, largely de...

Early-life proteomic and microbiome features signal obesity risk across 26 years of follow-up.

UNLABELLED: Childhood obesity is rising globally. Yet, few studies have examined the microbiome and proteome in early childhood in relation to this ou...

Interpretable machine learning model for predicting hemorrhage following ultrasound-guided percutaneous renal biopsy: a multicenter study.

OBJECTIVE: This study aims to develop and validate an interpretable machine learning (ML) model for predicting post-procedural hemorrhage (PH) after u...

Charting human organogenesis across the Carnegie stages from a whole-embryo perspective.

The Carnegie stages represent a critical window in human development, during which organ primordia emerge, tissue identities diversify, and many conge...

Protein fibril-based delivery systems for bioactive substances: Structural design, functional regulation, and food applications.

Protein fibrils (PFs) are β-sheet-rich supramolecular assemblies with high aspect ratios, tunable surface chemistry, and multiscale assembly behavior,...

Predicting low birth weight in Bangladesh using interpretable machine learning models.

BACKGROUND: Low birth weight (LBW) remains a leading cause of neonatal mortality and long-term morbidity in low- and middle-income countries. This stu...

How Machine Learning Can Help Close Evidence Gaps for Drug Safety in Pregnant Women.

Women, especially pregnant women, have historically been excluded from clinical research. In this News and Perspectives article, JMIR Correspondent Mi...

Integrating Structural and Functional Ultrasound Carotid Assessment in a Single Software Platform: Development and Feasibility Evaluation.

BACKGROUND: The extensive assessment of vascular health requires the integration of both structural and functional (hemodynamic) parameters. These are...

Application of machine learning algorithms for prediction of abortion and its determinants among women of reproductive-age in East African countries.

In low- and middle-income nations, abortion ranks among the top five causes of maternal mortality. It is associated to a pregnancy and childbirth-rela...