Obstetrics & Gynecology

Deep learning of renal scans in children with antenatal hydronephrosis.

INTRODUCTION: Antenatal hydronephrosis (ANH) is one of the most common anomalies identified on prena...

Application of machine learning techniques for predicting survival in ovarian cancer.

BACKGROUND: Ovarian cancer is the fifth leading cause of mortality among women in the United States....

An Embedded Framework for Fully Autonomous Object Manipulation in Robotic-Empowered Assisted Living.

Most of the humanoid social robots currently diffused are designed only for verbal and animated inte...

Near-infrared ray catheter and indocyanine green via nephrostomy in delayed robotic reconstruction of injured ureter: A case report.

Delayed surgical reconstruction of iatrogenic ureteral injuries is often a challenging procedure bec...

Accelerating the Detection of Bacteria in Food Using Artificial Intelligence and Optical Imaging.

In assessing food microbial safety, the presence of Escherichia coli is a critical indicator of feca...

Microrobots for Targeted Delivery and Therapy in Digestive System.

Untethered miniature robots enable targeted delivery and therapy deep inside the gastrointestinal tr...

RESOLVE-DWI-based deep learning nomogram for prediction of normal-sized lymph node metastasis in cervical cancer: a preliminary study.

BACKGROUND: It is difficult to predict normal-sized lymph node metastasis (LNM) in cervical cancer c...

Making and selecting the best embryo in the laboratory.

Over the past 4 decades our ability to maintain a viable human embryo in vitro has improved dramatic...

Deep learning identifies morphological patterns of homologous recombination deficiency in luminal breast cancers from whole slide images.

Homologous recombination DNA-repair deficiency (HRD) is becoming a well-recognized marker of platinu...

Social Values of Care Robots.

Care robots have the potential to address the challenge of aging societies, such as labor shortages ...

Technical and engineering considerations for designing therapeutics and delivery systems.

The newly-emerged pathological conditions and increased rates of drug resistance necessitate applica...

A proof of concept for a deep learning system that can aid embryologists in predicting blastocyst survival after thaw.

The ability to understand whether embryos survive the thaw process is crucial to transferring compet...

Diffusion-weighted MRI with deep learning for visualizing treatment results of MR-guided HIFU ablation of uterine fibroids.

OBJECTIVES: No method is available to determine the non-perfused volume (NPV) repeatedly during magn...

A CNN-RNN unified framework for intrapartum cardiotocograph classification.

BACKGROUND AND OBJECTIVE: Prenatal fetal monitoring, which can monitor the growth and health of the ...

Application of Digital Imaging and Artificial Intelligence to Pathology of the Placenta.

Digital imaging, including the use of artificial intelligence, has been increasingly applied to inve...

Surgeon experience, robotic perioperative outcomes, and complications in gynecology.

OBJECTIVE: Robotic surgery is currently on the rise and has been widely applied all over the world. ...

Development of a Novel Deep Learning-Based Prediction Model for the Prognosis of Operable Cervical Cancer.

BACKGROUND: Cervical cancer ranks as the 4th most common female cancer worldwide. Early stage cervic...

Deep Learning-based Non-rigid Image Registration for High-dose Rate Brachytherapy in Inter-fraction Cervical Cancer.

In this study, an inter-fraction organ deformation simulation framework for the locally advanced cer...

Using artificial intelligence to optimize delivery of weight loss treatment: Protocol for an efficacy and cost-effectiveness trial.

Gold standard behavioral weight loss (BWL) is limited by the availability of expert clinicians and h...

Stratification of Length of Stay Prediction following Surgical Cytoreduction in Advanced High-Grade Serous Ovarian Cancer Patients Using Artificial Intelligence; the Leeds L-AI-OS Score.

(1) Background: Length of stay (LOS) has been suggested as a marker of the effectiveness of short-te...

Establishing the Controlled Delivery of VEGF Using a Hydrogel Loaded Soft Robotic Drug Delivery System With the Aim to Prevascularise Implant Site for Islet Transplantation: Erratum.