Infertility

Minimally invasive measurement of maternal transcripts enables predicting the developmental potential of mammalian zygotes

Maternal transcripts are stored in the oocyte cytoplasm during oogenesis and play a pivotal role in early embryonic development after fertilization. However, specific maternal transcripts that reflect the developmental potential of embryos have not been systematically identified, and the use of maternal transcript levels as an indicator of successful development has not been explored. Here, we lin...

Deep Learning-Based Segmentation of Peritoneal Cancer Index Regions from CT Imaging

Peritoneal metastases are currently assessed using diagnostic laparoscopy to determine Sugarbaker's Peritoneal Cancer Index (sPCI), which works by dividing the abdomen into 13 regions and scoring each region based on tumor size. A recent consensus study defined 3D regions to facilitate a radiological PCI (rPCI), providing standardized anatomical regions for imaging-based assessment. Despite its cl...

Multitasking Embedding for Embryo Blastocyst Grading Prediction (MEmEBG)

Reliable evaluation of blastocyst quality is critical for the success of in vitro fertilization (IVF) treatments. Current embryo grading practices pri...

On Semiotic-Grounded Interpretive Evaluation of Generative Art

Interpretation is essential to deciphering the language of art: audiences communicate with artists by recovering meaning from visual artifacts. Howeve...

Peer Support in Online Discussions of Male Infertility: A Natural Language Processing Study of Reddit

Infertility generates profound psychological and social distress for both women and men, yet mens communicative experiences remain comparatively under...

In vitro fertilisation procedure assisted with computer vision models for organic Senegalese sole (Solea senegalensis) culture

Reproductive dysfunction remains a major challenge for Senegalese sole (Solea senegalensis) aquaculture. Hormone-induced ovulation and in vitro fertil...

RNA foundation models enable generalizable endometriosis disease classification and stable gene-level interpretation

Endometriosis is a chronic inflammatory condition with significant diagnostic delays impacting one in ten reproductive age women worldwide. While mach...

Unsupervised Anomaly Detection of Diseases in the Female Pelvis for Real-Time MR Imaging

Pelvic diseases in women of reproductive age represent a major global health burden, with diagnosis frequently delayed due to high anatomical variabil...

EndoExtract: Co-Designing Structured Text Extraction from Endometriosis Ultrasound Reports

Endometriosis ultrasound reports are often unstructured free-text documents that require manual abstraction for downstream tasks such as analytics, ma...

Vision Models for Medical Imaging: A Hybrid Approach for PCOS Detection from Ultrasound Scans

Polycystic Ovary Syndrome (PCOS) is the most familiar endocrine illness in women of reproductive age. Many Bangladeshi women suffer from PCOS disease ...

Uncertainty-aware Diffusion and Reinforcement Learning for Joint Plane Localization and Anomaly Diagnosis in 3D Ultrasound

Congenital uterine anomalies (CUAs) can lead to infertility, miscarriage, preterm birth, and an increased risk of pregnancy complications. Compared ...

Assisted Reproductive Technology: A Ray of Hope for Infertility.

Assisted reproductive technologies (ART) have revolutionized the field of reproductive medicine, offering hope to millions of individuals and couples ...

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment

Infertility has a considerable impact on individuals' quality of life, affecting them socially and psychologically, with projections indicating a ri...

Time-Lapse Video-Based Embryo Grading via Complementary Spatial-Temporal Pattern Mining

Artificial intelligence has recently shown promise in automated embryo selection for In-Vitro Fertilization (IVF). However, current approaches eithe...

Artificial intelligence classifies surgical technical skills in simulated laparoscopy: a pilot study.

OBJECTIVE: To develop a computer algorithm for the automatic classification of basic surgical skills in laparoscopy. The ability to objectively assess...

UrbanCraft: Urban View Extrapolation via Hierarchical Sem-Geometric Priors

Existing neural rendering-based urban scene reconstruction methods mainly focus on the Interpolated View Synthesis (IVS) setting that synthesizes fr...

Deep learning classification integrating embryo images with associated clinical information from ART cycles.

An advanced Artificial Intelligence (AI) model that leverages cutting-edge computer vision techniques to analyse embryo images and clinical data, enab...

Unveiling lipoprotein subfractions signature in high-FNPO PCOS: implications for PCOM diagnosis and risk assessment using advanced machine learning models.

BACKGROUND: Polycystic ovary syndrome (PCOS) is a common reproductive and metabolic disorder in the reproductive-age women. The international evidence...

Object Detection in Laparoscopic Surgery: A Comparative Study of Deep Learning Models on a Custom Endometriosis Dataset.

Laparoscopic surgery for endometriosis presents unique challenges due to the complexity of and variability in lesion appearances within the abdominal...

HSG-Assistant: AI-Driven Framework for Enhanced Hysterosalpingography Analysis.

HSG-Assistant is an AI-driven diagnostic framework designed to address the significant limitations of traditional Hysterosalpingography (HSG) imaging ...