Pregnancy

Exploring AI Driven Autonomous Vehicles as Mobile Health Units to Expand Access to Healthcare in Underserved Communities.

Access to quality healthcare remains a persistent challenge in many low- and middle-income countries, especially for rural and underserved populations. This paper explores the transformative potential of autonomous vehicles (AVs) as mobile health units, proposing a new model for healthcare delivery that leverages emerging transportation technology. We examine how AVs can be equipped with diagnosti...

A Deep Learning Approach for Analyzing Brainwave Signals During Audio Meditation in Expectant Mothers: Variational Mode Decomposition with a CNN-BiLSTM Model.

Meditation has increasingly been recognized as a helpful non-pharmacological intervention to treat psychological stress, anxiety, and depression during pregnancy-a period that plays a significant role in maternal and fetal health. Although very popular, there is very little scientific evidence on how brief audio meditation affects brain activity in pregnant women. This work reports an EEGbased met...

Harnessing Large Language Models in Neonatal IVH: Exploring RAG Methodology for Prognostic Variable Discovery.

OBJECTIVE: To evaluate whether large language models (LLMs) can autonomously synthesize existing literature and accurately extract prognostic variable...

Recent advances in sex-specific reproductive microphysiological systems for the systematic evaluation of assisted reproductive technology.

The rising global burden of infertility continues to increase clinical reliance on assisted reproductive technology (ART), yet overall outcomes remain...

Artificial intelligence-based prediction of fetal hypoxia: a multicenter model development and nationwide AI-human comparison.

BACKGROUND: Fetal hypoxia is a leading cause of neonatal morbidity and mortality. Cardiotocography (CTG) is widely used to predict fetal hypoxia durin...

Recent Advances in the Non-viral Delivery of Genes to Central Nervous System Disorders.

Disorders of the central nervous system (CNS), neurological disorders, neurodegenerative disorders, genetic disorders) constitute a significant burden...

Enhancing Exploration and Exploitation in Tumor Treatment Through Action-Guided Deep Reinforcement Learning.

Inverse treatment planning is pivotal in tumor treatment planning. It enables the multi-objective optimization of radiation dose delivery, ensuring pr...

Exploration of a Multimodal Machine Learning Model Integrating Ultrasound and Clinical Indicators for the Diagnosis of Diabetic Peripheral Neuropathy.

OBJECTIVES: Based on ultrasound technology and clinical indicators, this study intends to develop multiple risk prediction models for diabetic periphe...

Reliability of Rectus Femoris Ultrasound Measurements and Relationship With Truncal Muscle Mass in Healthy Individuals Using Concurrent CT Measurements as the Reference Standard: A Pilot Study.

In chronic diseases, accelerated muscle mass loss is associated with poor clinical outcomes. Computed tomography (CT) is considered a reference standa...

Cross-sectional evaluation of cardiovascular biological age using point-of-care ultrasound.

AIMS: Biological age is increasingly recognized as a superior predictor of morbidity, mortality, compared with chronological age. Artificial intellige...

A Deep Learning Framework for Enhanced Ovarian Adnexal Mass Classification Using Routinely Acquired Ultrasound Images.

Accurate classification of ovarian masses is crucial for clinical decision-making. B-mode ultrasound is widely used for imaging adnexal masses, yet co...

Improved BG-PVS Quantification in Infant Brain MRI Using Anatomy-Informed Pseudo-Labels for Joint BG and PVS Segmentation.

BACKGROUND: Reliable quantification of perivascular spaces (PVS) in the basal ganglia (BG) is of growing interest for understanding the glymphatic sys...

Operationalising One Health for epidermal parasitic skin diseases: threshold-triggered mass drug administration and a minimal indicator set.

Epidermal parasitic skin diseases (EPSDs)-including scabies, pediculosis, cutaneous leishmaniasis, tungiasis and cutaneous larva migrans-affect millio...

BWS-Net: An Optimal Deep Learning Architecture for the Anterior Bladder Wall Segmentation using Ultrasound Imaging.

Urodynamic tests are used to assess bladder function by measuring detrusor pressure, which requires invasive catheterization. Ultrasound bladder vibro...

mRNA-based cancer vaccines: A new frontier in personalized immunotherapy.

The advancement of mRNA technology has rejuvenated the cancer treatment immunotherapy field by providing a flexible and scalable platform to generate ...

Artificial intelligence-based prediction of boar reproductive fitness and health: Current status in research and practice.

The development of artificial intelligence (AI) and machine learning (ML) is transforming reproductive management in boar studs by providing objective...

SEQUAL: Self-refining and effective querying active learning with pseudo label divergence score for carotid intima-media segmentation in ultrasound.

Deep learning has achieved remarkable performance in carotid intima-media (CIM) segmentation from ultrasound images, but its clinical applicability re...

A multimodal biomechanics dataset with synchronized kinematics and internal tissue motions during reaching.

Tissue motions within body segments, such as the relative movements of muscles, fascia, and bone, remain largely unexplored despite their relevance to...

Artificial intelligence-guided design of LNPs for in vivo targeted mRNA delivery via analysis of the spatial conformation of ionizable lipids.

Efficient mRNA delivery to specific tissues requires optimized ionizable lipids, yet the role of lipid spatial conformation in organ targeting and end...

Machine learning-enhanced behavioural approach to detecting reactions to sound in infants and toddlers: proof-of-concept study.

OBJECTIVE: Show that a basic unsupervised machine learning (ML) algorithm can give information on the direction of child and infant reactions to sound...