Pregnancy

Derivation and external validation of risk stratification models for severe maternal morbidity using prenatal encounter diagnosis codes.

OBJECTIVE: We sought to develop a prediction model using prenatal diagnosis codes that could help cl...

A real-time anatomy ıdentification via tool based on artificial ıntelligence for ultrasound-guided peripheral nerve block procedures: an accuracy study.

We aimed to assess the accuracy of an artificial intelligence (AI)-based real-time anatomy identific...

Multi-Features-Based Automated Breast Tumor Diagnosis Using Ultrasound Image and Support Vector Machine.

Breast ultrasound examination is a routine, fast, and safe method for clinical diagnosis of breast t...

Male pelvic multi-organ segmentation on transrectal ultrasound using anchor-free mask CNN.

PURPOSE: Current prostate brachytherapy uses transrectal ultrasound images for implant guidance, whe...

Integrating robot-assisted ultrasound tracking and 3D needle shape prediction for real-time tracking of the needle tip in needle steering procedures.

BACKGROUND: Needle insertions have been used in several minimally invasive procedures for diagnostic...

Semi-automated weak annotation for deep neural network skin thickness measurement.

Correctly calculating skin stiffness with ultrasound shear wave elastography techniques requires an ...

Identifying anatomical structures on ultrasound: assistive artificial intelligence in ultrasound-guided regional anesthesia.

Ultrasound-guided regional anesthesia involves visualizing sono-anatomy to guide needle insertion an...

Robotics for enzyme technology: innovations and technological perspectives.

The use of robotics in the life science sector has created a considerable and significant impact on ...

Thoracic Point-of-Care Ultrasound: A SARS-CoV-2 Data Repository for Future Artificial Intelligence and Machine Learning.

Current experience suggests that artificial intelligence (AI) and machine learning (ML) may be usefu...

Development of a transperineal prostate biopsy robot guided by MRI-TRUS image.

BACKGROUND: In the transrectal ultrasound (TRUS)-guided transperineal prostate biopsy, doctors deter...

Artificial intelligence assists identifying malignant versus benign liver lesions using contrast-enhanced ultrasound.

BACKGROUND AND AIM: This study aims to construct a strategy that uses assistance from artificial int...

Deep-learning models for lipid nanoparticle-based drug delivery.

Early prediction of time-lapse microscopy experiments enables intelligent data management and decis...

Cesarean scar pregnancy: Reproductive outcome after robotic laparoscopic removal with simultaneous repair of the uterine defect.

OBJECTIVE: To describe perioperative adverse events, fertility and obstetric outcome, following a ro...

Wireless MRI-Powered Reversible Orientation-Locking Capsule Robot.

Magnetic resonance imaging (MRI) scanners do not provide only high-resolution medical imaging but al...

Improving Risk Assessment of Miscarriage During Pregnancy with Knowledge Graph Embeddings.

Miscarriages are the most common type of pregnancy loss, mostly occurring in the first 12 weeks of p...

A Deep Learning Framework for Spatiotemporal Ultrasound Localization Microscopy.

Ultrasound Localization Microscopy (ULM) can resolve the microvascular bed down to a few micrometers...

Aflatoxin rapid detection based on hyperspectral with 1D-convolution neural network in the pixel level.

Aflatoxin is commonly exists in moldy foods, it is classified as a class one carcinogen by the World...

Breast ultrasound in the age of advanced technology and artificial intelligence.

Automated Segmentation of the Median Nerve in the Carpal Tunnel using U-Net.

Nerve area and motion in carpal tunnel syndrome (CTS) are currently under investigation in terms of ...

A deep learning approach for 2D ultrasound and 3D CT/MR image registration in liver tumor ablation.

BACKGROUND AND OBJECTIVE: Liver tumor ablation is often guided by ultrasound (US). Due to poor image...

Image Quality Assessment of Fetal Brain MRI Using Multi-Instance Deep Learning Methods.

BACKGROUND: Due to random motion of fetuses and maternal respirations, image quality of fetal brain ...