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Application of artificial intelligence to ultrasound imaging for benign gynecological disorders: systematic review.

Although artificial intelligence (AI) is increasingly being applied to ultrasound imaging in gynecology, efforts to synthesize the available evidence have been inadequate. The aim of this systematic review was to …

Published: Jan. 31, 2025, midnight
Identification of hub biomarkers and immune cell infiltrations participating in the pathogenesis of endometriosis.

Endometriosis (EM) is a chronic disease that can cause pain and infertility in patients. As is well known, immune cell infiltrations (ICIs) play important roles in the pathogenesis of EM. …

Published: Jan. 22, 2025, midnight
Potential biomarkers and immune infiltration linking endometriosis with recurrent pregnancy loss based on bioinformatics and machine learning - Frontiers

Potential biomarkers and immune infiltration linking endometriosis with recurrent pregnancy loss based on bioinformatics and machine learning Frontiers

Published: Jan. 21, 2025, 4:35 a.m.
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
Machine learning Nomogram for Predicting endometrial lesions after tamoxifen therapy in breast Cancer patients - Nature.com

Machine learning Nomogram for Predicting endometrial lesions after tamoxifen therapy in breast Cancer patients Nature.com

Published: Jan. 6, 2025, 3:49 p.m.
Immunomodulatory insights of monoterpene glycosides in endometriosis: immune infiltration and target pathways analysis.

Endometriosis is a complex gynecological condition characterized by abnormal immune responses. This study aims to explore the immunomodulatory effects of monoterpene glycosides from Paeonia lactiflora on endometriosis. Using the ssGSEA …

Published: Jan. 3, 2025, midnight
Identification of common diagnostic genes and molecular pathways in endometriosis and systemic lupus erythematosus by machine learning approach and in vitro experiment.

Growing research suggests that endometriosis and systemic lupus erythematosus (SLE) are both chronic inflammatory diseases and closely related, but no studies have explored their common molecular characteristics and underlying mechanisms. …

Published: Jan. 1, 2025, midnight
A machine learning-based immune response signature to facilitate prognosis prediction in patients with endometrial cancer | Scientific Reports - Nature.com

A machine learning-based immune response signature to facilitate prognosis prediction in patients with endometrial cancer | Scientific Reports Nature.com

Published: Dec. 28, 2024, 2:37 a.m.
A machine learning-based immune response signature to facilitate prognosis prediction in patients with endometrial cancer - Nature.com

A machine learning-based immune response signature to facilitate prognosis prediction in patients with endometrial cancer Nature.com

Published: Dec. 28, 2024, 2:37 a.m.
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
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