Obstetrics & Gynecology

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

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An improved cancer diagnosis algorithm for protein mass spectrometry based on PCA and a one-dimensional neural network combining ResNet and SENet.

Cancer is one of the most serious health problems worldwide. Because cancer has no specific symptoms...

Attention 3D UNET for dose distribution prediction of high-dose-rate brachytherapy of cervical cancer: Intracavitary applicators.

BACKGROUND: Formulating a clinically acceptable plan within the time-constrained clinical setting of...

A deep learning model for predicting blastocyst formation from cleavage-stage human embryos using time-lapse images.

Efficient prediction of blastocyst formation from early-stage human embryos is imperative for improv...

Water-Stable Magnetic Lipiodol Micro-Droplets as a Miniaturized Robotic Tool for Drug Delivery.

Magnetic microrobots, designed to navigate the complex environments of the human body, show promise ...

A F-FDG PET/CT-based deep learning-radiomics-clinical model for prediction of cervical lymph node metastasis in esophageal squamous cell carcinoma.

BACKGROUND: To develop an artificial intelligence (AI)-based model using Radiomics, deep learning (D...

Prediction of clinical pregnancy outcome after single fresh blastocyst transfer during in vitro fertilization: an ensemble learning perspective.

To establish a predictive model for clinical pregnancy outcomes following the transfer of a single f...

Miniature Robots for Battling Bacterial Infection.

Micro/nanorobots have shown great promise for minimally invasive bacterial infection therapy. Howeve...

Leveraging machine learning to streamline the development of liposomal drug delivery systems.

Drug delivery systems efficiently and safely administer therapeutic agents to specific body sites. L...

Machine learning models in evaluating the malignancy risk of ovarian tumors: a comparative study.

OBJECTIVES: The study aimed to compare the diagnostic efficacy of the machine learning models with e...

Automatic delineation of cervical cancer target volumes in small samples based on multi-decoder and semi-supervised learning and clinical application.

Radiotherapy has been demonstrated to be one of the most significant treatments for cervical cancer,...

Machine learning models for predicting dysphonia following anterior cervical discectomy and fusion: a Swedish Registry Study.

BACKGROUND: Dysphonia is one of the more common complications following anterior cervical discectomy...

Utilizing machine learning and molecular dynamics for enhanced drug delivery in nanoparticle systems.

Materials data science and machine learning (ML) are pivotal in advancing cancer treatment strategie...

An energy-aware protocol in wireless sensor networks using the scattered search algorithm and fuzzy logic.

Given the resource limitations of wireless sensor networks (WSNs), energy conservation is of utmost ...

Combination of plasma-based lipidomics and machine learning provides a useful diagnostic tool for ovarian cancer.

Ovarian cancer (OC), the second leading cause of death among gynecological cancers, is often diagnos...

A deep learning approach for ovarian cancer detection and classification based on fuzzy deep learning.

Different oncologists make their own decisions about the detection and classification of the type of...

Assessment of pencil beam scanning proton therapy beam delivery accuracy through machine learning and log file analysis.

PURPOSE: Comprehensive Quality Assurance (QA) protocols are necessary for complex beam delivery syst...

Assessment of Large Language Models (LLMs) in decision-making support for gynecologic oncology.

OBJECTIVE: This study investigated the ability of Large Language Models (LLMs) to provide accurate a...

Enhancing patient understanding in obstetrics: the role of generative AI in simplifying informed consent for labor induction with oxytocin.

Informed consent is a cornerstone of ethical medical practice, particularly in obstetrics where proc...

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