Obstetrics & Gynecology

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-based guideline for the assessment and management of PCOS 2023 now suggests raising the follicle number per ovary (FNPO) threshold from 12 to 20 to define its key feature, polycystic ovarian morphology (PCOM). However, understanding of low- and high...

Machine-Learning Framework to Predict the Performance of Lipid Nanoparticles for Nucleic Acid Delivery.

Lipid nanoparticles (LNPs) are highly effective carriers for gene therapies, including mRNA and siRNA delivery, due to their ability to transport nucleic acids across biological membranes, low cytotoxicity, improved pharmacokinetics, and scalability. A typical approach to formulate LNPs is to establish a quantitative structure-activity relationship (QSAR) between their compositions and / activitie...

Patient-Specific Autoregressive Models for Organ Motion Prediction in Radiotherapy

Radiotherapy often involves a prolonged treatment period. During this time, patients may experience organ motion due to breathing and other physiolo...

Assessing the Quality of AI-Generated Clinical Notes: A Validated Evaluation of a Large Language Model Scribe

In medical practices across the United States, physicians have begun implementing generative artificial intelligence (AI) tools to perform the funct...

Large Language Models for Cancer Communication: Evaluating Linguistic Quality, Safety, and Accessibility in Generative AI

Effective communication about breast and cervical cancers remains a persistent health challenge, with significant gaps in public understanding of ca...

Bias Detection in Histology Images Using Explainable AI and Image Darkness Assessment.

The study underscores the importance of addressing biases in medical AI models to improve fairness, generalizability, and clinical utility. In this pa...

Unlocking the secrets: Structure-function dynamics of plant proteins.

Plant-based proteins are becoming essential resources for sustainable food systems, pharmaceutical innovations, and functional materials. This review ...

Early Detection of Fetal Health Conditions Using Machine Learning for Classifying Imbalanced Cardiotocographic Data.

Cardiotocography (CTG) is widely used in obstetrics to monitor fetal heart rate and uterine contractions. It helps detect early signs of fetal distre...

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...

Artificial Intelligence and Uterine Fibroids: A Useful Combination for Diagnosis and Treatment.

This manuscript examines the role of artificial intelligence (AI) in the diagnosis and treatment of uterine fibroids and uterine sarcomas, offering a ...

Automated grading and staging of ovarian cancer using deep learning on the transmission optical microscopy bright-field images of thin biopsy tissue samples.

Ovarian cancer remains a challenging malignancy to diagnose and manage, with prognosis heavily dependent on the stage at detection. Accurate grading a...

A Mixed-Methods Evaluation of LLM-Based Chatbots for Menopause.

The integration of Large Language Models (LLMs) into healthcare settings has gained significant attention, particularly for question-answering tasks. ...

A Deep-Learning Framework for Ovarian Cancer Subtype Classification Using Whole Slide Images.

Ovarian cancer, a leading cause of cancer-related deaths among women, comprises distinct subtypes each requiring different treatment approaches. This ...

Deep learning-based prediction of individualized Real-time FSH doses in GnRH agonist long protocols.

BACKGROUND: Individualizing follicle-stimulating hormone (FSH) dosing during controlled ovarian stimulation (COS) is critical for optimizing outcomes ...

Feasibility study of automatic radiotherapy treatment planning for cervical cancer using a large language model.

BACKGROUND: Radiotherapy treatment planning traditionally involves complex and time-consuming processes, often relying on trial-and-error methods. The...

Aligning AI principles and healthcare delivery organization best practices to navigate the shifting regulatory landscape.

As artificial intelligence (AI) becomes further embedded in healthcare, healthcare delivery organizations (HDOs) must navigate a complex regulatory la...

Optoelectronic-Coupled-Driven Microrobot for Biological Cargo Transport in Conductive Isosmotic Glucose Solution.

Electric field-driven micro/nanorobots, as micro/nanodevices with autonomous motion capability, have emerged as promising candidates for targeted carg...

Total radius BMD correlates with the hip and lumbar spine BMD among post-menopausal patients with fragility wrist fracture in a machine learning model.

UNLABELLED: Osteoporosis screening should be systematic in the group of over 50-year-old females with a radius fracture. We tested a phantom combined ...

Validation of Conformal Prediction in Cervical Atypia Classification

Deep learning based cervical cancer classification can potentially increase access to screening in low-resource regions. However, deep learning mode...

Computer vision analysis of luteal color Doppler ultrasonography for early and automated pregnancy diagnosis in Bos taurus beef cows.

This study evaluated the suitability of applying supervised deep learning (DL) algorithms for early and real-time pregnancy diagnosis in beef cattle u...