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Intra- and interobserver agreement of proposed objective transvaginal ultrasound image-quality scoring system for use in artificial intelligence algorithm development.

The development of valuable artificial intelligence (AI) tools to assist with ultrasound diagnosis depends on algorithms developed using high-quality data. This study aimed to test the intra- and interobserver agreement …

Published: Jan. 24, 2025, midnight
Leveraging artificial intelligence for advancements in reproductive health.

We are writing to address the growing interest in the role of artificial intelligence (AI) within healthcare, particularly in the field of reproductive health. As technology continues to evolve, AI …

Published: Jan. 7, 2025, midnight
Artificial intelligence-based tissue segmentation and cell identification in multiplex-stained histological endometriosis sections.

How can we best achieve tissue segmentation and cell counting of multichannel-stained endometriosis sections to understand tissue composition?

Published: Dec. 26, 2024, midnight
Utilizing AI for the Identification and Validation of Novel Therapeutic Targets and Repurposed Drugs for Endometriosis.

Endometriosis affects over 190 million women globally, and effective therapies are urgently needed to address the burden of endometriosis on women's health. Using an artificial intelligence (AI)-driven target discovery platform, …

Published: Dec. 12, 2024, midnight
Laparoscopic robotic assisted surgery in reproductive medicine.

Laparoscopic Robot-assisted surgery is one of the most promising and rapidly developing surgical advancements of the twenty-first century with a potential to make significant contributions to reproductive medicine and preservation …

Published: Nov. 26, 2024, midnight
A Comprehensive Review of Advanced Diagnostic Techniques for Endometriosis: New Approaches to Improving Women's Well-Being.

According to the World Health Organization (WHO), endometriosis affects roughly 10% (190 million) of reproductive-age women and girls in the world (2023). The diagnostic challenge in endometriosis lies in the …

Published: Nov. 14, 2024, midnight
Artificial intelligence-assisted magnetic resonance imaging technology in the differential diagnosis and prognosis prediction of endometrial cancer - Nature.com

Artificial intelligence-assisted magnetic resonance imaging technology in the differential diagnosis and prognosis prediction of endometrial cancer Nature.com

Published: Nov. 6, 2024, 5:27 a.m.
Understanding AI's Role in Endometriosis Patient Education and Evaluating Its Information and Accuracy: Systematic Review.

Endometriosis is a chronic gynecological condition that affects a significant portion of women of reproductive age, leading to debilitating symptoms such as chronic pelvic pain and infertility. Despite advancements in …

Published: Oct. 30, 2024, midnight
Machine Learning-Based Detection of Endometriosis: A Retrospective Study in A Population of Iranian Female Patients.

Endometriosis, is a prevalent condition among women of childbearing age, characterized by the presence of ectopic endometrial glands. It is associated with pelvic pain and infertility. Unfortunately, the diagnosis of …

Published: Oct. 30, 2024, midnight
Revolutionizing endometriosis treatment: automated surgical operation through artificial intelligence and robotic vision.

Clinical limitations due to poverty significantly impact the lives and health of many individuals globally. Nevertheless, this challenge can be addressed with modern technologies, particularly through robotics and artificial intelligence. …

Published: Oct. 26, 2024, midnight
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