Pregnancy

Prediction of Central Lymph Node Metastasis in Papillary Thyroid Microcarcinoma Using a Deep Learning Radiomics Model Based on SAM3 Automatic Segmentation of Ultrasound Images: A Multicenter Cohort Study.

RATIONALE AND OBJECTIVES: We aimed to establish a Segment Anything Model 3 (SAM3) based on ultrasound images for automatic papillary thyroid microcarcinoma (PTMC) segmentation and develop and validate a deep learning radiomics (DLR) model based on ultrasound images for noninvasive prediction of central lymph node metastasis (CLNM) in PTMC. MATERIALS AND METHODS: We retrospectively collected data f...

Autonomous Ultrasound Systems: Are We Approaching the Era of Self-Directed Imaging?

BACKGROUND: Ultrasound remains one of the most widely used imaging modalities in clinical practice; however, its effectiveness is highly dependent on operator expertise. Recent advances in artificial intelligence (AI), robotics, computer vision and machine learning have accelerated the development of autonomous ultrasound systems capable of performing imaging tasks with minimal human intervention....

Detecting Sjögren's Disease from Parotid Gland Ultrasound Radiomics.

OBJECTIVES: Salivary gland ultrasonography is a promising non-invasive modality for the evaluation of Sjögren's disease (SjD), but its diagnostic util...

Artificial Intelligence-Based Multimodal Ultrasound Model for Prediction of Spontaneous Preterm Birth: Development and Validation.

OBJECTIVES: The primary aim of this study was to develop a multimodal artificial intelligence model for predicting spontaneous preterm birth using cer...

Artificial intelligence in dermatologic pharmacokinetics: quantitative modeling, clinical translation, and optimization of precision therapeutics.

INTRODUCTION: Dermatology is rapidly transitioning from broad-spectrum therapies toward biologics, nanotechnology-based drug delivery, and precision t...

Machine Learning-Assisted Prediction of Varicocele Grade Using Multidimensional Spermatic Vein Reflux Time Analysis.

BACKGROUND: Varicocele (VC) grading has long relied on qualitative assessments of venous diameter and reflux signals, lacking standardization. OBJECTI...

Antibiotic Mixture Exposure in Meconium Affects Child Neurodevelopment via Altering Early-Life Gut Microbiome and Metabolome.

Previous evidence has established associations of antibiotic exposure in early life with neurodevelopmental disorders. However, previous studies have ...

Accelerating Focused Ultrasound Modeling in Heterogeneous Spinal Cord Anatomy With Vision Transformer Operator Networks.

OBJECTIVE: The purpose of this work is to develop a data-driven framework for real-time prediction of focused ultrasound pressure fields in the spinal...

Placental Blood-Flow Velocity Quantification From Diffusion MRI.

PURPOSE: Altered placental capillary blood flow is closely linked to obstetric complications, yet quantifying capillary-scale blood velocity remains c...

Accelerated Biological Age as an Early Pregnancy Risk Factor for Preeclampsia.

BACKGROUND: The inability to predict risk in early pregnancy for preeclampsia represents a major limitation in prenatal care. OBJECTIVES: We used mach...

Multimodal artificial intelligence for prostate cancer imaging: workflow-relevant fusion of mpMRI, PSMA PET, ultrasound, and clinical data for diagnosis, local staging, and treatment personalization.

BACKGROUND: Prostate cancer imaging is inherently multimodal, yet many AI tools remain single-modality and therefore misaligned with real-world abdomi...

Artificial Intelligence, Machine Learning, and Multi-Omics Biomarker Discovery in Ectopic Pregnancy: A Comprehensive Review.

BACKGROUND: Ectopic pregnancy is a major cause of first-trimester maternal morbidity and mortality, with diagnosis and management posing persistent cl...

KEAP1-Nrf2 Signaling in Chronic Inflammatory Disorders: Integrating Redox Biology, Quantitative Evidence, and Precision Therapeutics.

BACKGROUND: Chronic inflammatory disorders represent a major global health burden characterized by persistent immune activation, oxidative stress, and...

Evaluation of e-health interventions to strengthen nursing care in the neonatal intensive care unit: A systematic review.

PURPOSE: This review explores how e-health interventions are utilized within neonatal intensive care units to support nursing practice, with particula...

From ACR O-RADS 2022 to Explainable Deep Learning: Comparative Performance of Expert Radiologists, Convolutional Neural Networks, Vision Transformers, and Fusion Models for Ultrasound-Based Risk Stratification of Ovarian Masses.

OBJECTIVES: The 2022 update of the Ovarian-Adnexal Reporting and Data System (O-RADS) improves risk stratification of adnexal lesions; however, radiol...

Automated breast ultrasound (ABUS) meets artificial intelligence: a new accurate classification tool for BIRADS 3-4 breast lesions.

PURPOSE: Breast ultrasound (US) has often interpretation challenges (BIRADS 3-BIRADS 4 lesions), leading to a high demand for core needle biopsies (CN...

Experiment-confirmed machine learning optimization of NADES extraction with ultrasound assistance and Mendelian randomization evidence on antioxidant effects of ferulic acid and ligustilide from Angelicae Sinensis Radix.

This study developed an efficient and sustainable extraction process for extracting ferulic acid (FA) and ligustilide (LIG) from Angelica sinensis Rad...

From mechanization to cognitive autonomy: the journey of healthcare evolution from Industry 1.0 to 6.0.

BACKGROUND: The symbiotic relationship between industrial advancement and healthcare delivery has fundamentally shaped modern medicine. This comprehen...

Interobserver and intraobserver variability of fetal and maternal Doppler measurements: systematic review and meta-analysis.

OBJECTIVES: To evaluate the variability and reproducibility of umbilical artery (UA), fetal middle cerebral artery (MCA) and uterine artery (UtA) Dopp...

An Organ-Guided Lightweight Multi-frame Integration Network for Real-Time Abdominal Lesion Detection in Ultrasound Video Streams.

OBJECTIVE: Abdominal ultrasound is widely used for the routine screening of hepatobiliary and renal diseases because it is safe, inexpensive and broad...