Pregnancy

Sonogenetics for Precision Medicine: A Focus on Immunoengineering and Genome Engineering.

Ultrasound can penetrate centimetres of soft tissue, focus energy with millimetre precision, and operate safely under real-time image guidance. Leveraging these advantages, sonogenetics combines therapeutic ultrasound with genetic, cellular, and molecular engineering to create remotely programmable living systems. While widely applied in neuronal modulation, this review highlights recent progress ...

MUSiK: An Open Source Simulation Library for 3D Multi-View Ultrasound.

Diagnostic ultrasound has long filled a crucial niche in medical imaging thanks to its portability, affordability, and favorable safety profile. Now, multi-view hardware and deep-learning-based image reconstruction algorithms promise to extend this niche to increasingly sophisticated applications, such as volume rendering and long-term organ monitoring. However, progress on these fronts is impeded...

Fetal pHocus: A Novel Approach to Non-Invasive Fetal Arterial Blood pH Assessment via Near-Infrared Spectroscopy.

Modern intrapartum fetal health assessments are currently limited to monitoring heart rate and spatial parameters, neglecting critical biomarkers that...

Artificial Intelligence-Assisted Ultrasound in Austere Trauma Environments: Implications for Role 1 Military Medicine.

Pararescue jumpers are United States Air Force medical tactical operators who provide advanced trauma and prolonged casualty care in austere, high-ris...

An echo from the past: open access repository of over 10,000 annotated Doppler audio recordings of venous gas emboli.

INTRODUCTION: Doppler ultrasound measurements have been recorded since the 1970s across the world and provide a valuable data resource for learning, a...

Artificial Intelligence-Enhanced Cardiac Point-of-Care Ultrasound: A Prospective Single-Arm Study.

OBJECTIVE: To evaluate the clinical utility of combining artificial intelligence (AI) with handheld focused cardiac ultrasound (FoCUS) performed by no...

Artificial Intelligence as an Add-On Instrument in Fetal Ultrasound; Sonographers' and Obstetricians' Expectations.

OBJECTIVE: Artificial intelligence applications (AIA) in fetal ultrasound are rapidly evolving, yet their integration into routine clinical practice r...

Artificial Intelligence in Diabetes Care.

BACKGROUND: Diabetes care requires frequent and high-stakes decisions that must be made in the setting of substantial day-to-day physiologic variabili...

Radiomics-Based Classification of Pathological Patterns in Common Carotid Artery Wall.

OBJECTIVES: Abnormal echogenic patterns such as the triple signal pattern can be identified in the common carotid artery (CCA) using ultrasound. These...

Developing and validating ultrasound-based machine-learning models incorporating radiomics features to predict malignancy in adnexal masses.

OBJECTIVE: The primary aim of this study was to develop and internally validate ultrasound-based radiomics models to discriminate between all types of...

Automatic Segmentation of Placenta from MR images Using a Novel BiGC U-Net.

Accurate segmentation of the placenta in Magnetic Resonance (MR) images is required for quantitative techniques such as texture and shape analysis, wh...

The Dawn of PACS 3.0: The Evolution from Image Access to Workflow Intelligence.

Picture Archiving and Communication Systems (PACS) have evolved over decades in response to changes in imaging technology, network and data storage in...

Deep Learning for Medical Ultrasound Image Segmentation: A Systematic Review of the Current Research.

Deep learning (DL) has enabled automated segmentation of ultrasound images, and due to the rapid development of DL models, we want to offer a comprehe...

Reinforcement learning for real-time adaptive radiotherapy.

State-of-the-art radiotherapy machines with integrated magnetic resonance (MR) imaging, known as MR-Linacs, provide the capability to track tumors in ...

Practical Integration of Bedside Real-Time Lung Ultrasound and Electrical Impedance Tomography for Guiding Personalized Perioperative Lung Protective Ventilation in Cardiothoracic and Vascular Anesthesia.

Patients undergoing cardiothoracic and vascular surgery are at uniquely high risk for postoperative pulmonary complications due to the confluence of s...

Artificial intelligence-enabled flexible surface-enhanced Raman scattering substrate based on silver nanoparticles/polypyrrole/chitosan film for sensitive uric acid detection in saliva, serum and urine.

Selective detection of uric acid (UA), a key biomarker associated with cardiovascular diseases, gout and preeclampsia, is important for preventive hea...

Deep transfer learning radiomics combined with explainable machine learning for predicting malignancy risk in parotid gland tumors based on ultrasound.

OBJECTIVE: This study aimed to develop and validate an ultrasound (US)-based deep transfer learning radiomics model, integrated with explainable machi...

The transformative role of artificial intelligence in gestational diabetes mellitus: advancements in screening, management, and long-term outcome prediction.

PURPOSE: Artificial intelligence (AI) has emerged as a pivotal tool in enhancing the management of gestational diabetes mellitus (GDM). With its risin...

Enabling time-aware treatment plan evaluation for clinical proton pencil beam scanning systems.

INTRODUCTION: Clinical Treatment Planning Systems (TPS) for proton pencil beam scanning (PBS) typically do not consider treatment delivery time, limit...

Closed-loop transcranial ultrasound stimulation based on NREM and REM sleep for bidirectional modulation of sleep neural oscillation and memory.

Sleep plays an important role in memory integration. Closed-loop physical stimulation during rapid eye movement (REM) or non-rapid eye movement (NREM)...