Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
Making an early diagnosis of cancer still in the early stages, when completely asymptomatic, is the challenge modern medicine has been setting for several decades. In gynecology, no effective screening has yet been found and approved for endometrial and ovarian cancer. Mammography is an effective screening method for Breast Cancer, as well as Pap Test for Cervical Cancer, but they are underused in...
Steroids are biologically active polycyclic compounds that have garnered significant scientific attention due to their distinct physiochemical properties and diverse medical applications. Since their invention more than 90 years ago, steroids have remained the most important and necessary class of regulatory molecules in the evolution process of living creatures and have fascinated scientists due ...
The rapid development of microfluidics has driven innovations in material engineering, particularly through its ability to precisely manipulate fluids...
BACKGROUND: Diverse cell types and cellular states in the tumor microenvironment (TME) are drivers of biological and therapeutic heterogeneity in ovar...
OBJECTIVE: To perform a systematic review on artificial intelligence (AI) studies focused on identifying and differentiating pelvic gynecological tumo...
Artificial intelligence (AI) is poised to become a significant disruptive force in healthcare delivery, setting new standards by automating routine ta...
While education is essential for employability, people with disabilities often face barriers such as inadequate accommodations and limited access to a...
The growing demand for intelligent logistics, particularly fine-grained terminal delivery, underscores the need for autonomous UAV (Unmanned Aerial ...
To systematically evaluate the application of artificial intelligence (AI) in cervical cytopathology diagnosis. A systematic search was conducted us...
In the context of the new mandatory labor compliance in the European Union (EU), which will be implemented in 2027, supply chain enterprises face st...
The rapid advancements in Large Vision Language Models (LVLMs) offer the potential to surpass conventional labeling by generating richer, more detai...
With the advent of artificial intelligence (AI), many researchers are attempting to extract structured information from document-level biomedical li...
The last few decades have witnessed a rapid increase in IoT devices owing to their wide range of applications, such as smart healthcare monitoring s...
Deep learning (DL) is increasingly used to analyze medical imaging, but is less refined for rare conditions, which require novel pre-processing and an...
Artificial intelligence(AI) is increasingly being utilized in the research of cervical spine diseases, encompassing areas such as image analysis, assi...
OBJECTIVE: This study aims to evaluate the feasibility of video-based assessment rate of Critical Views of Safety criteria for sentinel lymph node dis...
Spinal cord functional MRI studies require precise localization of spinal levels for reliable voxelwise group analyses. Traditional template-based r...
We propose a novel approach to cervical cell image classification for cervical cancer screening using the EVA-02 transformer model. We developed a f...
Cervical cancer remains a significant health challenge, with high incidence and mortality rates, particularly in transitioning countries. Convention...
Due to physiological changes during the perimenopausal period, the morphology of cervical cells undergoes certain alterations. Accurate cell image seg...