Obstetrics & Gynecology

Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.

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Showing 484-504 of 2,420 articles
anti-cancer activity of siddha metallo-mineral formulation from Thanga uram with Hela cell lines.

The second most common malignant tumour in women worldwide, cervical cancer seriously jeopardizes th...

A lightweight deep learning method to identify different types of cervical cancer.

Cervical cancer is the second most common cancer in women's bodies after breast cancer. Cervical can...

Preliminary Screening for Hereditary Breast and Ovarian Cancer Using an AI Chatbot as a Genetic Counselor: Clinical Study.

BACKGROUND: Hereditary breast and ovarian cancer (HBOC) is a major type of hereditary cancer. Establ...

A Study on Automatic O-RADS Classification of Sonograms of Ovarian Adnexal Lesions Based on Deep Convolutional Neural Networks.

OBJECTIVE: This study explored a new method for automatic O-RADS classification of sonograms based o...

Exploring acetylation-related gene markers in polycystic ovary syndrome: insights into pathogenesis and diagnostic potential using machine learning.

OBJECTIVE: Polycystic ovary syndrome (PCOS) is a prevalent cause of menstrual irregularities and inf...

The use of machine and deep learning to model the relationship between discomfort temperature and labor productivity loss among petrochemical workers.

BACKGROUND: Workplace may not only increase the risk of heat-related illnesses and injuries but also...

Deep learning model using continuous skin temperature data predicts labor onset.

BACKGROUND: Changes in body temperature anticipate labor onset in numerous mammals, yet this concept...

Exploratory study on the enhancement of O-RADS application effectiveness for novice ultrasonographers via deep learning.

PURPOSE: The study aimed to create a deep convolutional neural network (DCNN) model based on ConvNeX...

CDSNet: An automated method for assessing growth stages from various anatomical regions in lateral cephalograms based on deep learning.

BACKGROUND: The assessment of growth stages, typically determined by Cervical Vertebrae Maturation (...

Automated robotic-assisted patient positioning method and dosimetric impact analysis for boron neutron capture therapy.

Boron Neutron Capture Therapy (BNCT) represents a revolutionary approach in targeted radiation treat...

Targeting mitochondria in Cancer therapy: Machine learning analysis of hyaluronic acid-based drug delivery systems.

BACKGROUND: Mitochondrial alterations play a crucial role in the development and progression of canc...

Deep learning based analysis of dynamic video ultrasonography for predicting cervical lymph node metastasis in papillary thyroid carcinoma.

BACKGROUND: Cervical lymph node metastasis (CLNM) is the most common form of thyroid cancer metastas...

Magnetic soft microrobots for erectile dysfunction therapy.

Erectile dysfunction (ED) is a major threat to male fertility and quality of life, and mesenchymal s...

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