Pregnancy

Machine learning-based ultrasound radiomics for predicting risk of recurrence in breast cancer.

PURPOSE: To develop a radiomics model based on ultrasound images for predicting risk of recurrence in breast cancer patients.

Machine learning models for estimating fetal weight based on ultrasonographic biometry: Development and validation study.

BACKGROUND: Advances in machine learning (ML) offer an innovative approach to accurate fetal weight estimation by integrating multiple biometric and clinical variables.

Machine learning-enabled screening for aortic stenosis with handheld ultrasound.

AIMS: Neural network classifiers can detect aortic stenosis (AS) using limited cardiac ultrasound images. While networks perform very well using cart-...

Artificial intelligence-based automated breast ultrasound radiomics for breast tumor diagnosis and treatment: a narrative review.

Breast cancer (BC) is the most common malignant tumor among women worldwide, posing a substantial threat to their health and overall quality of life. ...

The value of a combined model based on ultra-radiomics and multi-modal ultrasound in the benign-malignant differentiation of C-TIRADS 4A thyroid nodules: a prospective multicenter study.

OBJECTIVE: To establish a combined model based on ultrasound radiomics combined with multimodal ultrasound and evaluate its value in diagnosing benign...

The diagnostic value of convolutional neural networks in thyroid cancer detection using ultrasound images.

OBJECTIVE: To extract and analyze the image features of two-dimensional ultrasound images and elastic images of four thyroid nodules by radiomics, and...

Development and validation of an interpretable longitudinal preeclampsia risk prediction using machine learning.

Preeclampsia is a pregnancy-specific disease characterized by new onset hypertension after 20 weeks of gestation that affects 2-8% of all pregnancies ...

Intelligent diagnosis of thyroid nodules with AI ultrasound assistance and cytology classification.

OBJECTIVE: Accurate evaluation of thyroid nodules is crucial for effective management; however, methods such as ultrasonography and Fine Needle Aspira...

AISIM: evaluating impacts of user interface elements of an AI assisting tool.

While Artificial Intelligence (AI) has demonstrated human-level capabilities in many prediction tasks, collaboration between humans and machines is cr...

The role of AI in reducing maternal mortality: Current impacts and future potentials: Protocol for an analytical cross-sectional study.

BACKGROUND: Maternal and newborn mortality remains a critical public health challenge, particularly in resource-limited settings. Despite global effor...

Advancing Pharmaceutical Science with Artificial Neural Networks: A Review on Optimizing Drug Delivery Systems Formulation.

Drug Delivery Systems (DDS) have been developed to address the challenges associated with traditional drug delivery methods. These DDS aim to improve ...

Artificial Intelligence in Transcranial Doppler Ultrasonography.

Transcranial Doppler is an instrumental ultrasound method capable of providing data on various brain pathologies, in particular, the study of cerebral...

Identification and Immunological Characterization of Cuproptosis Related Genes in Preeclampsia Using Bioinformatics Analysis and Machine Learning.

Preeclampsia (PE) is a pregnancy-specific disorder characterized by an unclearly understood pathogenesis and poses a great threat to maternal and feta...

Leveraging AI for Automatic Classification of PCOS Using Ultrasound Imaging

The AUTO-PCOS Classification Challenge seeks to advance the diagnostic capabilities of artificial intelligence (AI) in identifying Polycystic Ovary ...

A Review on the Integration of Artificial Intelligence and Medical Imaging in IVF Ovarian Stimulation

Artificial intelligence (AI) has emerged as a powerful tool to enhance decision-making and optimize treatment protocols in in vitro fertilization (I...

Convolutional Deep Operator Networks for Learning Nonlinear Focused Ultrasound Wave Propagation in Heterogeneous Spinal Cord Anatomy

Focused ultrasound (FUS) therapy is a promising tool for optimally targeted treatment of spinal cord injuries (SCI), offering submillimeter precisio...

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI

Dynamic fetal heart magnetic resonance imaging (MRI) presents unique challenges due to the fast heart rate of the fetus compared to adult subjects a...

Measurement of Medial Elbow Joint Space using Landmark Detection

Ultrasound imaging of the medial elbow is crucial for the early diagnosis of Ulnar Collateral Ligament (UCL) injuries. Specifically, measuring the e...

Uncovering Student Engagement Patterns in Moodle with Interpretable Machine Learning

Understanding and enhancing student engagement through digital platforms is critical in higher education. This study introduces a methodology for qu...

Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function

The measurement of fetal thalamus diameter (FTD) and fetal head circumference (FHC) are crucial in identifying abnormal fetal thalamus development a...