Obstetrics & Gynecology

Integrating SHAP analysis with machine learning to predict postpartum hemorrhage in vaginal births.

OBJECTIVE: This study aimed to develop a machine learning (ML) model integrated with SHapley Additiv...

Utilizing explainable machine learning for progression-free survival prediction in high-grade serous ovarian cancer: insights from a prospective cohort study.

BACKGROUND: High-grade serous ovarian cancer (HGSOC) remains one of the most challenging gynecologic...

Deep Learning Model of Primary Tumor and Metastatic Cervical Lymph Nodes From CT for Outcome Predictions in Oropharyngeal Cancer.

IMPORTANCE: Primary tumor (PT) and metastatic cervical lymph node (LN) characteristics are highly as...

Advancement in early diagnosis of polycystic ovary syndrome: biomarker-driven innovative diagnostic sensor.

Polycystic ovary syndrome (PCOS) is a heterogeneous multifactorial endocrine disorder that affects o...

Performance of radiomics analysis in ultrasound imaging for differentiating benign from malignant adnexal masses: A systematic review and meta-analysis.

INTRODUCTION: We present the state of the art of ultrasound-based machine learning (ML) radiomics mo...

Artificial Intelligence (AI) and The Journal of Pediatric and Adolescent Gynecology (JPAG).

Ovarian Cancer Detection in Ascites Cytology with Weakly Supervised Model on Nationwide Data Set.

Conventional ascitic fluid cytology for detecting ovarian cancer is limited by its low sensitivity. ...

Statistical algorithms for the analysis of deleterious genetic mutations.

We present algorithms for model selection and parameter estimation concerning deleterious genetic mu...

Standardizing a microbiome pipeline for body fluid identification from complex crime scene stains.

Recent advances in next-generation sequencing have opened up new possibilities for applying the huma...

Evaluation of deliverable artificial intelligence-based automated volumetric arc radiation therapy planning for whole pelvic radiation in gynecologic cancer.

This study aimed to develop a deep learning (DL)-based deliverable whole pelvic volumetric arc radia...

Advancements in fluorescent nanobiosensors for HPV detection: from integrating nanomaterials to DNA nanotechnology.

Human papillomavirus (HPV) is a leading cause of cervical cancer and other malignancies, necessitati...

Hybrid Neural network and machine learning models with improved optimization method for gut microbiome effects on the sleep quality in patients with endometriosis.

BACKGROUND AND OBJECTIVE: Endometriosis is a chronic gynecological condition known to affect the qua...

Peritoneal cytology predicting distant metastasis in uterine carcinosarcoma: machine learning model development and validation.

OBJECTIVE: This study develops and validates a machine learning model using peritoneal cytology to p...

Performance of ChatGPT and Microsoft Copilot in Bing in answering obstetric ultrasound questions and analyzing obstetric ultrasound reports.

To evaluate and compare the performance of publicly available ChatGPT-3.5, ChatGPT-4.0 and Microsoft...

Therapeutic potential of enzymes, neurosteroids, and synthetic steroids in neurodegenerative disorders: A critical review.

Neurodegenerative disorders present a significant challenge to healthcare systems, mainly due to the...

A pioneering artificial intelligence tool to predict treatment outcomes in ovarian cancer via diagnostic laparoscopy.

Ovarian cancer is associated with high rates of patient mortality and morbidity. Laparoscopic assess...

Effect of pregnancy and infancy exposure to outdoor particulate matter (PM, PM, PM) and SO on childhood pneumonia in preschool children in Taiyuan City, China.

There is currently a paucity of research on the effects of early life exposure to particulate matter...

Torg-Pavlov ratio qualification to diagnose developmental cervical spinal stenosis based on HRViT neural network.

BACKGROUND: Developing computer-assisted methods to measure the Torg-Pavlov ratio (TPR), defined as ...

Understanding contraceptive switching rationales from real world clinical notes using large language models.

Understanding reasons for treatment switching is of significant medical interest, but these factors ...

The inconsistent pathogenesis of endometriosis and adenomyosis: insights from endometrial metabolome and microbiome.

UNLABELLED: Endometriosis (EM) and adenomyosis (AM) are interrelated gynecological disorders charact...

AO Spine Clinical Practice Recommendations for Diagnosis and Management of Degenerative Cervical Myelopathy: Evidence Based Decision Making - A Review of Cutting Edge Recent Literature Related to Degenerative Cervical Myelopathy.

Study DesignLiterature review of key topics related to degenerative cervical myelopathy (DCM) with c...