Ayse Ayhan
AI-Assisted Vision: Recognizing Endometriosis in Real Time
Artificial intelligence (AI) may soon assist surgeons in recognizing endometriosis during minimally invasive surgery. In a proof-of-concept study published in the Journal of Minimally Invasive Gynecology, Netter and collegues evaluated a deep-learning algorithm designed to visually detect endometriosis lesions on laparoscopic images and videos. The team trained the AI model using surgical footage collected from multiple medical centers, encompassing various presentations of peritoneal, ovarian, and deep infiltrating endometriosis. When tested, the model was able to identify lesions with accuracy comparable…
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From Damage to Hope: IVF and Embryo Science in Endometriosis
Endometriosis remains one of the most challenging causes of infertility, affecting women both biologically and emotionally. In a comprehensive review published in Biology, Dr. Monika Mrugacz and colleagues examine how this disease disrupts fertility at every level: from the health of the oocyte to the complex signaling within the uterus. The authors describe endometriosis as a condition that disturbs the body’s natural reproductive balance through inflammation, oxidative stress, and immune dysfunction. These processes damage the eggs, impair embryo development, and…
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Menstrual Blood–Derived Stem Cells and Diagnostic Advances
Menstrual blood is usually discarded as waste, but recent discoveries show it may hold extraordinary value for women’s health and medicine more broadly. In a review published in Frontiers in Cell and Developmental Biology in 2025, Drs Feng and He from Shanxi Medical University, Taiyuan, China, highlight the growing body of research demonstrating that menstrual blood contains a rich source of biological information and unique stem cells that could change how we diagnose and treat many conditions. For women with endometriosis, the potential…
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Laparoscopy Benefits Women With Endometriosis Across All Stages
Endometriosis greatly affects daily life and emotional well-being. Many women experience severe pelvic pain, fatigue, and reduced quality of life. Laparoscopic surgery, a minimally invasive operation that removes endometriosis lesions, is often offered when medications no longer help. In this study, published in the International Journal of Reproductive BioMedicine, Dr.Sadeki from Zabol University of Medical Sciences and Iran University of Medical Sciences followed 50 women with endometriosis who underwent laparoscopic surgery. Half of the women had severe (stage IV) disease,…
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Endometriosis Immunopathology: The Macrophage Connection
Macrophages and tiny signaling particles called extracellular vesicles (EVs) are emerging as central immune players in how endometriosis develops and persists. Together, they shape the immune environment around endometriotic lesions, helping them survive, spread, and resist the body’s defenses. In a recent review published in the Journal of Ovarian Research, Dr. Azari-Dolatabad from the Department of Biology, Science and Research from Islamic Azad University, Tehran-Iran, and colleagues from Belgium and USA, bring together the latest findings on the crosstalk between macrophages,…
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Novel Biomarkers for Endometriosis via Anoikis Gene Profiling
Endometriosis is notoriously difficult to diagnose early. Currently, diagnosis often requires surgery, leading to years of delay. A new study published in Biochemical Genetics introduces a potential breakthrough: the use of "anoikis-related genes" — genes linked to a form of programmed cell death that occurs when cells detach from their normal environment. In endometriosis, resistance to anoikis may allow displaced cells to survive and implant in new sites, fueling disease progression. In this study, researchers used machine learning algorithms to…
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Deep Learning Models for Object Detection in Laparoscopic Endometriosis Surgery
For endometriosis treatment, surgery remains the cornerstone, but its success depends heavily on the surgeon’s ability to detect and completely excise lesions. Some endometriotic lesions can be subtle, hidden, or resemble surrounding tissue, which increases the risk of incomplete surgery and recurrence. In a study recently published in Diagnostics, researchers explored whether artificial intelligence could support surgeons by improving lesion detection during laparoscopy. They developed a custom dataset of laparoscopic images of endometriosis, annotated by clinical experts, and trained two…
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