Obstetrics & Gynecology

Morphologic Evaluation of Hyperchromatic Crowded Groups Present in Cervical Thin Prep Cytology Tests as Identified by the Hologic Genius Digital Diagnostics System: A Descriptive Study.

BACKGROUND: Our descriptive study focused on morphologic characteristics of hyperchromatic crowded groups (HCGs) in ThinPrep cervical cytology tests when reviewed with the artificial intelligence (AI)-assisted Hologic Genius Digital Diagnostics System (HGDDS). METHOD: After IRB approval, our archives were searched over a 1-year period for potential HCGs. A total of 157 slides with HCGs were select...

Recent advances in numerical simulation of magnetically guided drug delivery systems and applications.

Magnetically guided drug delivery (MGDD) employs magnetic forces acting on magnetically responsive drug delivery systems (DDS) to direct therapeutic agents toward diseased regions, thereby enhancing local drug accumulation while minimising systemic side effects. Numerical simulation, grounded in the physical principles governing MGDD, provides an efficient computational framework for modelling and...

Application of machine learning to create a prediction model for the need of aggressive nutritional intervention during head & neck cancer radiotherapy.

BACKGROUND: Curative-intent radiotherapy (RT) or chemoradiotherapy (CRT) for head and neck squamous cell carcinoma (HNSCC) frequently leads to mucosit...

Low-Field Magnetic Resonance Imaging of the Late Gestation Cervix and Birth Outcome Correlation: A Prospective Cohort Study.

OBJECTIVE: To use low-field MRI to produce reconstructions and 3D models of the cervix and to automate measurements for correlation with demographics ...

Machine learning-guided composite ionic liquid-based system for dual-drug delivery targeting redox homeostasis and STAT3-PI3K axis in psoriasis therapy.

Excessive accumulation of reactive oxygen and nitrogen species (RONS) exacerbates inflammatory responses and contributes to the progression of psorias...

Plant immune inducers from fundamental research to applications: Past achievements, current challenges, and future perspectives.

Plant pathogens cause substantial global crop losses, posing a serious threat to food security. Conventional chemical pesticides face increasing chall...

Multi-omic biomarker detection in ovarian cancer.

Ovarian cancer remains one of the most lethal gynecologic malignancies, largely because of late-stage diagnosis and the absence of reliable biomarkers...

Applicator reconstruction in cervical cancer brachytherapy: A systematic review of current methods, challenges, and AI-driven future directions.

PURPOSE: Accurate applicator reconstruction is a critical step in 3D image-guided brachytherapy (3D-IGBT) for cervical cancer, directly influencing tu...

Practice of Cytopathology in Korea: A 40-Year Evolution Through Standardization, Digital Transformation, and Global Partnership.

Over four decades, Korea has advanced from a limited cytology service to a global model of digital and AI-integrated cytopathology. Since the founding...

AI-based automated weight prediction in cattle for herd health surveillance.

Early and accurate monitoring of livestock health is critical for effective disease prevention, welfare assurance, and sustainable farm management. La...

The added value of radiomic analysis for predicting spontaneous preterm birth in the first trimester.

BACKGROUND AND OBJECTIVE: Preterm birth (PTB) is a public health problem. Researchers have worked to identify ways to detect women at risk for PTB ear...

Automated Recognition and Measurement for Levator Hiatus in 3D Ultrasound: A Clinical Study in Postpartum Women.

OBJECTIVES: To evaluate the performance of a CNN-based (convolutional neural networks-based) AI software for automatic recognition and measurement of ...

Industrial engineering solutions enhance operational efficiency in human and veterinary hospitals: a scoping review.

Human and veterinary healthcare systems face many parallel challenges, yet opportunities for cross-sectoral learning remain underexplored. This scopin...

Machine learning-based diagnosis of uterine myomas and sarcomas using tumor-educated platelet transcriptomics: a retrospective multicenter study.

Assessing the Accuracy of Large Language Models on European Guidelines for Cervical Cancer: An In Silico Benchmarking Study.

OBJECTIVE: Although large language models are increasingly used in clinical and research settings, the validity of the information they provide remain...

Guiding design and performance of nonviral nucleic acid delivery vehicles via machine learning.

Machine Learning (ML) techniques have enabled the advancement of many technologies throughout the pharmaceutical industry, especially for drug discove...

Detection of peritoneal, ovarian, and bowel endometriosis using FTIR spectroscopy and machine learning.

This study evaluated the diagnostic potential of Fourier-transform infrared (FTIR) spectroscopy combined with machine learning for the detection of ov...

Clinical Application of an AI-Driven Framework for Accurate Endometrial Thickness Measurement in Transvaginal Ultrasound.

OBJECTIVE: This study aims to develop an AI-based framework for automatic endometrial thickness (ET) measurement in transvaginal ultrasound (TVUS) bas...

Transformer-based ultrasound radiomics for novel multi-task automated segmentation and classification of ovarian tumors.

OBJECTIVE: To develop and evaluate a comprehensive AI-driven pipeline for automated segmentation and multi-class classification of ovarian tumors in u...

A Multi-instance Learning Network with Prototype-instance Adversarial Contrastive for Cervix Pathology Grading.

The pathological grading of cervical squamous cell carcinoma (CSCC) is a fundamental and important index in tumor diagnosis. Pathologists tend to focu...