Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
Ovarian cancer is a major health concern for women, contributing to substantial mortality and morbidity. Timely identification of ovarian cancer is crucial for enhancing patient health and survival rates. Current diagnostic practices involve the manual analysis of various clinical biomarkers to detect ovarian cancer. However, this approach can be subjective, time-consuming, and dependent on the ex...
This review provides a comprehensive overview of recent transformative advancements in diagnostic imaging that position Japan at the forefront of radiological innovation. We highlight pivotal innovations that enhance diagnostic capabilities and redefine clinical workflows. The article begins with upright multidetector computed tomography (MDCT), a groundbreaking technology offering novel insights ...
Cervical cancer ranks fourth in terms of cancer mortality among women. The most important risk factor for cervical cancer is infection with HPV 16 and...
BACKGROUND: Cervical cancer remains a significant health concern worldwide, necessitating effective diagnostic methods such as cervical cell image seg...
BACKGROUND: Tele-ophthalmology is transforming eye care delivery, particularly in remote and underserved areas, where specialist shortages and geograp...
BACKGROUND: The incidence of iatrogenic pharyngeal perforation has been reported to comprise 50%-75% of all pharyngeal perforations. In the context of...
MicroRNAs (miRNAs) play a central role in gene regulation and have emerged as critical tools in disease diagnosis, therapy, and precision medicine. Ho...
Early-life experiences shape neural networks, with heightened plasticity during the so-called "sensitive periods" (SP). SP are regulated by the matura...
INTRODUCTION: Standard spine surgery machine learning (ML) models often rely on structured clinical data, overlooking nuanced free text, such as preop...
One of the most ubiquitous and profound impacts to the delivery of healthcare over the last three decades has been the introduction of digital technol...
INTRODUCTION: Chronic low-grade inflammation drives polycystic ovary syndrome (PCOS)-related metabolic disorders, but the underlying mechanisms remain...
Maternal mortality remains a critical global public health issue, particularly in low- and middle-income settings where failures in surveillance, earl...
OBJECTIVES: To develop a CT-based deep learning radiomics nomogram (DLRN) for the preoperative prediction of peritoneal metastasis (PM) in patients wi...
OBJECTIVE: Endometriosis significantly impacts the quality of life (QoL) of affected women due to its complex symptomatology. This study aimed to deve...
Study DesignRetrospective study.ObjectiveTo develop a machine learning model for predicting axial symptoms (AS) after unilateral laminoplasty by integ...
Cancer vaccines stimulate antitumor immunity by delivering tumor antigens and, in recent years, have emerged as a promising therapeutic strategy again...
OBJECTIVE: To evaluate the potential of an artificial intelligence (AI)-driven large language model, ChatGPT 4.0, to provide personalized, evidence-ba...
Endometriosis is a chronic condition defined by endometrium-like tissue outside the uterus, with symptoms including pain, infertility, and fatigue. De...
Diabetic retinopathy (DR) is a progressive microvascular complication of diabetes and a leading cause of vision impairment worldwide. Despite advancem...
Oral drug delivery remains a clinically preferred route for colorectal cancer therapy due to its noninvasive nature and patient compliance. However, c...