Obstetrics & Gynecology

Pregnancy

Latest AI and machine learning research in pregnancy for healthcare professionals.

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The present and future of intrapartum computerized cardiotocography: role of pattern recognition incorporating single vs. multiple parameters.

Computer assisted cardiotocography holds a great promise in minimizing human errors thereby improvin...

Convolutional neural network-based object detection model to identify gastrointestinal stromal tumors in endoscopic ultrasound images.

BACKGROUND AND AIM: We aimed to develop a convolutional neural network (CNN)-based object detection ...

Analysis of maturation features in fetal brain ultrasound via artificial intelligence for the estimation of gestational age.

BACKGROUND: Optimal prenatal care relies on accurate gestational age dating. After the first trimest...

Robot Assisted Distal Pancreatectomy with Celiac Axis Resection (DP-CAR) for Pancreatic Cancer: Surgical Planning and Technique.

Malignant pancreatic tumors involving the celiac artery can be resected with a distal pancreatectomy...

Deep-learning based detection of COVID-19 using lung ultrasound imagery.

BACKGROUND: The COVID-19 pandemic has exposed the vulnerability of healthcare services worldwide, es...

Force-guided autonomous robotic ultrasound scanning control method for soft uncertain environment.

PURPOSE: Autonomous ultrasound imaging by robotic ultrasound scanning systems in complex soft uncert...

Deep learning and lung ultrasound for Covid-19 pneumonia detection and severity classification.

The Covid-19 European outbreak in February 2020 has challenged the world's health systems, eliciting...

Early pregnancy diagnosis of rabbits: A non-invasive approach using Vis-NIR spatially resolved spectroscopy.

Pregnancy diagnosis is essential for rabbit's reproductive management. The early identification of n...

Cascaded Deep Learning Neural Network for Automated Liver Steatosis Diagnosis Using Ultrasound Images.

Diagnosing liver steatosis is an essential precaution for detecting hepatocirrhosis and liver cancer...

Deep Learning-Based Measurement of Total Plaque Area in B-Mode Ultrasound Images.

Measurement of total-plaque-area (TPA) is important for determining long term risk for stroke and mo...

Automatic detection of vessel structure by deep learning using intravascular ultrasound images of the coronary arteries.

Intravascular ultrasound (IVUS) is a diagnostic modality used during percutaneous coronary intervent...

H-scan trajectories indicate the progression of specific diseases.

PURPOSE: The ability of ultrasound to assess pathology is increasing with the development of quantit...

[Importance of conventional pancreas imaging: ultrasound, CT, and MRI. Facts and possibilities].

Modern imaging procedures, including CT and MR diagnostics, play a significant role in recognizing, ...

Hybrid deep learning segmentation models for atherosclerotic plaque in internal carotid artery B-mode ultrasound.

The automated and accurate carotid plaque segmentation in B-mode ultrasound (US) is an essential par...

Skills Classification in Cardiac Ultrasound with Temporal Convolution and Domain Knowledge Using a Low-Cost Probe Tracker.

As point-of-care ultrasound (POCUS) becomes more integrated into clinical practice, it is essential ...

Machine learning predicts 3D printing performance of over 900 drug delivery systems.

Three-dimensional printing (3DP) is a transformative technology that is advancing pharmaceutical res...

Ultrasound Scatterer Density Classification Using Convolutional Neural Networks and Patch Statistics.

Quantitative ultrasound (QUS) can reveal crucial information on tissue properties, such as scatterer...

A Deep Learning-Based Automatic First-Arrival Picking Method for Ultrasound Sound-Speed Tomography.

Ultrasound sound-speed tomography (USST) has shown great prospects for breast cancer diagnosis due t...

Three artificial intelligence data challenges based on CT and ultrasound.

PURPOSE: The 2020 edition of these Data Challenges was organized by the French Society of Radiology ...

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