Pregnancy

Development of a High-Performance Ultrasound Prediction Model for the Diagnosis of Endometrial Cancer: An Interpretable XGBoost Algorithm Utilizing SHAP Analysis.

OBJECTIVES: To develop and validate an ultrasonography-based machine learning (ML) model for predicting malignant endometrial and cavitary lesions. METHODS: This retrospective study was conducted on patients with pathologically confirmed results following transvaginal or transrectal ultrasound from 2021 to 2023. Endometrial ultrasound features were characterized using the International Endometrial...

Artificial Intelligence Deep Learning Ultrasound Discrimination of Cosmetic Fillers: A Multicenter Study.

OBJECTIVES: Despite the growing use of artificial intelligence (AI) in medicine, imaging, and dermatology, to date, there is no information on the use of AI for discriminating cosmetic fillers on ultrasound (US). METHODS: An international collaborative group working in dermatologic and esthetic US was formed and worked with the staff of the Department of Computer Science and AI of the Universidad ...

Interpolation techniques for ultrasonic data.

Many applications where ultrasound is used for diagnostics exist where limited data is preventing a particular approach from being fully exploited; fo...

Integrating generative AI in perinatology: applications for literature review.

Perinatology relies on continuous engagement with an expanding body of clinical literature, yet the volume and velocity of publications increasingly e...

Global Trends and Emerging Themes in Tele-Ophthalmology Research: A Bibliometric Analysis (1993 to 2024).

BACKGROUND: Tele-ophthalmology is transforming eye care delivery, particularly in remote and underserved areas, where specialist shortages and geograp...

Longitudinal fetal heart rate analysis identifies neonates with metabolic acidemia requiring therapeutic hypothermia.

BACKGROUND: Despite widespread use of intrapartum fetal monitoring, rates of fetal brain injury remain unchanged. Neonatal encephalopathy due to hypox...

Emerging frontiers in microRNA technology: Innovations driving precision medicine.

MicroRNAs (miRNAs) play a central role in gene regulation and have emerged as critical tools in disease diagnosis, therapy, and precision medicine. Ho...

Harnessing Artificial Intelligence for Shoulder Ultrasonography: A Narrative Review.

Shoulder pain is a common musculoskeletal complaint requiring accurate imaging for diagnosis and management. Ultrasound is favored for its accessibili...

U-ConvNext: A Robust Approach to Glioma Segmentation in Intraoperative Ultrasound.

Intraoperative tumor imaging is critical to achieving maximal safe resection during neurosurgery, especially for low-grade glioma resection. Given the...

From early-life fluoxetine exposure to lifelong, sex-specific behavioral changes: decoding the dynamics of sensitive periods.

Early-life experiences shape neural networks, with heightened plasticity during the so-called "sensitive periods" (SP). SP are regulated by the matura...

Prognostic Utility of a Deep Learning Radiomics Nomogram Integrating Ultrasound and Multi-Sequence MRI in Triple-Negative Breast Cancer Treated With Neoadjuvant Chemotherapy.

OBJECTIVE: The aim of this study is to evaluate the prognostic performance of a nomogram integrating clinical parameters with deep learning radiomics ...

AI-Driven Fetal Liver Echotexture Analysis: A New Frontier in Predicting Neonatal Insulin Imbalance.

OBJECTIVES: To evaluate the performance of artificial intelligence (AI)-based models in predicting elevated neonatal insulin levels through fetal hepa...

Real-Time Super-Resolution Ultrasound Imaging for Monitoring Tumor Response During Intensive Care Management of Oncologic Emergencies.

BACKGROUND: Oncologic emergencies in critically ill cancer patients frequently require rapid, real-time assessment of tumor responses to therapeutic i...

The Case for the Pediatric Cardiologist-Informaticist.

One of the most ubiquitous and profound impacts to the delivery of healthcare over the last three decades has been the introduction of digital technol...

Using artificial intelligence as a technological tool in gynecologic and obstetric health: A narrative literature review.

Maternal mortality remains a critical global public health issue, particularly in low- and middle-income settings where failures in surveillance, earl...

Cancer vaccines: Discovery, development, and challenges for clinical translation.

Cancer vaccines stimulate antitumor immunity by delivering tumor antigens and, in recent years, have emerged as a promising therapeutic strategy again...

A novel network for resolving subjective masking differences and accurate thyroid nodule diagnosis.

BACKGROUND: Over the past three decades, there has been a significant increase in the incidence of thyroid cancer. Ultrasound serves as a non-invasive...

Function of chemokines in embryo implantation.

Embryo implantation centrally involves the maternal immune system's specific acceptance of the semi-allogeneic embryo. Despite advances in assisted re...

U-Net and YOLOv8 Artificial Intelligence Models for Automated Recognition of Internal Jugular Veins and Radial Arteries: A Foundational Study for Artificial Intelligence-guided Vascular Cannulation inPoint-of-care Ultrasound.

OBJECTIVES: This study compares the U-Net and You Only Look Once version 8 (YOLOv8) models for identifying internal jugular veins (IJVs) and radial ar...

Computer-aided diagnosis of DDH using ultrasound: deep learning for segmentation and accurate angle measurement aligned with radiologist's clinical workflow.

AIMS: A computer-aided diagnosis (CAD) system for automated evaluation of developmental dysplasia of the hip (DDH) via ultrasound, integrating Deep Le...