Pregnancy

Liquid-Sequencer: A Lightweight Liquid Neural Network for Real-Time Fetal Congenital Heart Disease Diagnosis.

Congenital heart disease (CHD) is the leading cause of neonatal mortality worldwide, making early an...

Impact of quality routine health data utilisation on health service delivery outcomes in low-income and middle-income countries: a systematic review protocol.

BACKGROUND: Evidence-based decision-making in healthcare relies heavily on routine health informatio...

Clinical Grading of Artificial Intelligence-Based 3D Fetal Brain Segmentations: A Cross-Vendor Evaluation of Deep Learning in Fetal Neuroimaging.

OBJECTIVE: To evaluate the performance of automated (sub)cortical fetal brain segmentation methods o...

Construction and comparison of preeclampsia prediction models using logistic regression and machine learning.

Harnessing Hitchhikers: Outer Membrane Vesicles Leading the Way in Advanced Cancer Therapeutics and Diagnostic- A Review.

Cancer therapy is increasingly shaped by delivery platforms designed to overcome the limitations of ...

Synergizing Artificial Intelligence with In Vivo CAR-T Cell Generation: A New Paradigm for Democratized Immunotherapy.

In vivo CAR-T cell generation represents a paradigm shift in immunotherapy by transitioning the prod...

Artificial intelligence for personalized multiple micronutrient supplementation in maternal health.

Maternal undernutrition and micronutrient deficiencies remain pervasive, contributing to adverse pre...

Integrating aqli (rationale) and naqli (revealed) knowledge in AI-driven clinical decision support systems to enhance healthcare delivery for guiding termination of pregnancy among Muslim patients: a systematic review (1).

Clinical utility assessment framework for machine learning-based fetal health classification in cardiotocography: an observational study.

OBJECTIVE: To evaluate the clinical utility and implementation considerations of artificial intellig...

Evaluation of Generative Artificial Intelligence Safeguards Against the Creation of Images and Videos Harmful to Public Health.

OBJECTIVES: As generative artificial intelligence (AI) continues to advance, an environment that lac...

AURA-CVC: Autonomous Ultrasound-guided Robotic Assistance for Central Venous Catheterization.

PURPOSE: Central venous catheterization (CVC) is a critical medical procedure for vascular access, h...

GlucoseGo: a simple tool to predict hypoglycaemia during exercise in type 1 diabetes.

AIMS/HYPOTHESIS: This study aimed to develop an accessible tool, derived using machine learning, to ...

Ultrasound-Responsive Serotonylation and Hallmark Pathway Gene Signatures Reveal Tumor Microenvironment Vulnerabilities and Prognostic Subtypes in Colorectal Cancer.

BACKGROUND: Focused ultrasound, low-intensity focused ultrasound, and microbubble-enhanced sonoporat...

Targeting metabolic vulnerabilities with advanced delivery systems.

Metabolism modulation has emerged as a promising frontier in precision oncology. Nonetheless, the pr...

LUMI-lab: A foundation model-driven autonomous platform enabling discovery of ionizable lipid designs for mRNA delivery.

Integrating AI with robotics offers a promising approach to molecular discovery and optimization, en...

Machine learning-based endometrial ultrasound radiomics habitat analysis for predicting pregnancy outcomes after embryo transfer.

Enhancing agreement in cardiotocography interpretation between midwives and obstetricians through a rule-based AI program: A comparative cross-sectional study.

OBJECTIVE: To evaluate whether a rule-based artificial intelligence (AI) program can enhance interra...

Agentic AI and the rise of in silico team science in biomedical research.

Agentic artificial intelligence (AI) systems are emerging as teams of intelligent computational expe...

Integrating B-mode ultrasound radiomics and clinical variables to predict 26-week progression-free survival in advanced hepatocellular carcinoma under targeted immunotherapy.

BACKGROUND: Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related mortality gl...

Navigated hepatic tumor resection using intraoperative ultrasound imaging.

PURPOSE: This proof-of-concept study evaluates the feasibility and accuracy of an ultrasound-based n...

Normative growth trajectories of fetal brain regions validated by satisfactory maturation of neurodevelopmental domains at 2 years of age.

We previously constructed a qualitative, 3D ultrasound derived atlas of the normative spatiotemporal...