Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
Fighting with the infection is one of the most challenging and costly burdens of the healthcare syst...
This research was to explore the accuracy of ultrasonic diagnosis based on artificial intelligence a...
Various factors influencing postoperative incisional infection in gynecologic tumors were analyzed, ...
OBJECTIVES: Because radiotherapy is indispensible for treating cervical cancer, it is critical to ac...
Cervical cancer is the second biggest killer of female cancer, second only to breast cancer. The cur...
Umbilical cord mesenchymal stem cells (UCMSCs) transplantation has been proposed as a promising trea...
This study aimed to develop a model for predicting the completion of clinical trials involving pregn...
The evaluation of tumor biomarkers in blood specimens is vital for patients with cervical lesions. H...
PURPOSE: To report the results of a first-in-human study using a robotic device to assist subretinal...
Chemicals are part of our daily lives, and we are exposed to numerous chemicals through multiple pat...
Cervical cancer is a very common and fatal type of cancer in women. Cytopathology images are often u...
Natural polymers provide a better alternative to synthetic polymers in the domain of drug delivery s...
A common gynecological disease in the world is breast cancer that early diagnosis of this disease ca...
The purpose of this study is to explore the application value of artificial intelligence algorithm i...
The introduction of robotic surgery in hospitals has raised much debate given the various effects on...
The color variation of hematoxylin and eosin (H&E)-stained tissues has presented a challenge for app...
Cervical cancer is still one of the most common gynecologic cancers in the world. Since cervical ca...
fertilization-embryo transfer (IVF-ET) technology make it possible for infertile couples to conceiv...
OBJECTIVE: To explore the image enhancement model based on deep learning on the effect of ureterosco...
OBJECTIVE: To predict risk of pre-eclampsia (PE) in women using machine learning (ML) algorithms, ba...
RESEARCH QUESTION: Can workflow during IVF be facilitated by artificial intelligence to limit monito...