Obstetrics & Gynecology

Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.

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Graph-based structural knowledge-aware network for diagnosis assistant.

Diagnosis assistant is an effective way to reduce the workloads of professional doctors. The rich pr...

Double decoupled network for imbalanced obstetric intelligent diagnosis.

Electronic Medical Record (EMR) is the data basis of intelligent diagnosis. The diagnosis results of...

Measuring Torque Production with a Robotic Exoskeleton during Cervical Transcutaneous Spinal Stimulation.

Spinal cord injury (SCI) affects a large number of individuals in the United States. Unfortunately, ...

Deep Learning using Pre-Brachytherapy MRI to Automatically Predict Applicator Induced Complex Uterine Deformation.

This novel deep-learning (DL) algorithm addresses the challenging task of predicting uterine shape a...

Towards Micropump- and Microneedle-based Drug Delivery using Micro Transdermal Interface Platforms (MicroTIPs).

Micro Transdermal Interface Platforms (MicroTIPs) will combine minimally invasive microneedle arrays...

Role of Robotic Surgery in Benign Gynecology.

Since Food and Drug Administration approval in 2005, use of the robotic device in gynecologic surger...

Robot-Assisted Surgery for Endometriosis Current and Future Perspectives.

Successful resection of all visible lesions may effectively treat endometriosis-related infertility ...

[Research on real-time detection system of catheter delivering force in vascular interventional robots].

In existing vascular interventional surgical robots, it is difficult to accurately detect the delive...

Heart Murmurs in Children: Evaluation and Management.

Up to 8.6% of infants and 80% of children have a heart murmur during their early years of life. The ...

Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study.

BACKGROUND: Ultrasound is a critical non-invasive test for preoperative diagnosis of ovarian cancer....

Robotic Kidney Transplant: The Modern Era Technical Revolution.

Since the mid 20th century, transplantation has been a fast-developing field of contemporary medicin...

[Robot-assisted laparoscopic total hysterectomy in a patient with giant uterine fibroids and complex pelvic adhesions: a case report].

We report a case of giant hysteromyoma and complex pelvic adhesion treated by robotic assisted lapar...

Artificial Intelligence and the Practice of Neurology in 2035: The Neurology Future Forecasting Series.

High-quality health care delivery relies on a complex orchestration of the flow of patient data. Inc...

Strategies for Cost Optimization in Minimally Invasive Gynecologic Surgery.

BACKGROUND: Cost and quality are important, complex, and intertwined surgical outcomes. Evidence sug...

The Use of Machine Learning in MicroRNA Diagnostics: Current Perspectives.

MicroRNAs constitute small non-coding RNAs that play a pivotal role in regulating the translation an...

Deep Learning for Patient-Specific Quality Assurance: Predicting Gamma Passing Rates for IMRT Based on Delivery Fluence Informed by log Files.

In this study, we propose a deep learning-based approach to predict Intensity-modulated radiation t...

Pattern Classification for Ovarian Tumors by Integration of Radiomics and Deep Learning Features.

BACKGROUND: Ovarian tumor is a common female genital tumor, among which malignant tumors have a poor...

Machine learning model for umbilical cord classification using combination coiling index and texture feature based on 2-D Doppler ultrasound images.

The umbilical cord is an organ that circulates oxygen and nutrition from mother to fetus during preg...

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