Pregnancy

Deep Learning Driven Evaluation of MR-guided Focused Ultrasound Ablation.

OBJECTIVE: Magnetic resonance-guided focused ultrasound (MRgFUS) thermal therapy is a promising incisionless procedure for breast cancer treatment. for assessing treatment efficacy. Current approaches rely on thermal and vascular MRI-derived biomarkers to assess treatment efficacy. However, these techniques are not sufficiently accurate for real-time in vivo assessment. To address this challenge, ...

Investigation of multimodal deep learning models for predicting ovarian tumor malignancy based on ultrasound images and clinical information - a comprehensive comparative study against readers and O-RADS.

BACKGROUND: As the second deadly cancer affecting women globally, precise and timely classification of ovarian tumors plays an instrumental role in improving the rate of curing and reducing the rate of mortality. This study was set out to comprehensively investigate the effectiveness of deep learning model for classifying benign and malignant ovarian tumors, utilizing multimodal ultrasound images ...

A machine learning approach to using ultrasound for body composition and nutritional status assessment in newborns: a pilot study protocol.

BACKGROUND: Accurate assessment of infant body composition, specifically fat and fat-free mass, is crucial for evaluating growth and nutritional statu...

Ultrasound synthetic aperture imaging with SpecularNet for enhanced needle visualization.

PURPOSE: Ultrasound imaging has been routinely used for needle guidance due to its real-time capability and cost-efficiency. However, conventional ult...

Application of machine learning algorithm for predicting acute malnutrition among under 5 children in east Africa using recent DHS.

Acute malnutrition remains a critical public health challenge across East Africa, contributing substantially to under-five morbidity and mortality. Ea...

Adapalene in Acne Treatment: Innovations in Nanocarriers and Role of AI in Drug Delivery- A Comprehensive Review.

INTRODUCTION: Acne vulgaris is a prevalent dermatological disorder that affects millions worldwide, causing both physical discomfort and psychological...

Prediction of Early-onset Preeclampsia Using Deep Learning: A Scoping Review of Clinical and Imaging Models.

This scoping review aimed to map the available evidence on deep learning (DL) models for predicting early-onset preeclampsia (EOPE), focusing on both ...

Computational models for predicting bone fracture healing: a review of modeling approaches, predictions, and emerging strategies.

BACKGROUND AND OBJECTIVE: The development of computational models for predicting bone fracture healing process holds strong potential to optimize ther...

CRISPR-Cas9 and next-generation gene editing strategies for therapeutic intervention of neurodegenerative pathways in Alzheimer's disease: a state-of-the-art review.

Alzheimer's disease (AD) is a progressive and multifactorial neurodegenerative disorder and the leading cause of dementia worldwide, characterized by ...

Utilizing the transformer mechanism to predict cervical lymph node metastasis in patients with papillary thyroid carcinoma.

RATIONALE AND OBJECTIVE: The status of cervical lymph node metastasis(LNM) in Papillary thyroid carcinoma(PTC) can affect the patient's treatment plan...

Focused Ultrasound-activated Extracellular Vesicles-nanoparticle Hybrids for Targeted Brain Drug Delivery: Engineering Strategies and Translational Outlook.

A revolutionary method for targeted neurotherapeutics is focused ultrasound (FUS)-mediated blood-brain barrier (BBB) regulation. In order to enable co...

Paradigm shift in medicine and in clinical reasoning method: time has come for a new chest semiotics.

INTRODUCTION: Clinical reasoning in medicine is a complex cognitive process that integrates sensory perception, interpretation, and abductive inferenc...

Precision Risk Model Using Quantitative Assessment of Vascular Severity in Telemedicine-Based Screening.

IMPORTANCE: Retinopathy of prematurity (ROP) screening requires frequent examinations to avoid missed treatment-requiring disease, but this approach i...

Contrast-Enhanced VM-UNet for Thyroid Nodule Segmentation Based on Wavelet Features and Dual-Branch Edge Learning.

Accurate segmentation of thyroid nodules from ultrasound images is critical for clinical diagnosis and treatment, as manual analysis is labor-intensiv...

Polymer Drug Conjugate: A Revolution in Drug Delivery.

Polymer-drug conjugates (PDCs) represent a remarkable advancement in modern medicine, leveraging the physicochemical properties of polymers to enhance...

SCAR-Net-assisted ultrasound diagnosis of postoperative scars and recurrent lesions in breast cancer.

Postoperative differentiation between scar tissue and recurrent lesions in patients with breast cancer presents a significant diagnostic challenge. Th...

Ultrasonographic Evaluation of Pediatric Thyroid Nodules: Adult Risk Stratification Systems, 2021 K-TIRADS Revision, and Future Refinements.

Although pediatric thyroid cancer is rare, it has characteristics distinct from those of adult thyroid cancer. Thyroid nodules in children present a h...

Detecting Uniformity Artifacts in Ultrasound Transducers: Insights from Clinical Median Images and Deep Learning for Automatic Detection.

OBJECTIVES: Uniformity artifacts caused by defective transducer elements or scanner malfunctions degrade diagnostic image quality. Traditional quality...

mRNA vaccines in cancer immunotherapy: current progress and perspectives in solid tumors and hematologic malignancies.

The unprecedented success of mRNA vaccines during the COVID-19 pandemic has accelerated the development of nucleic acid-based therapeutics, particular...

Factors Influencing Universal Coverage of AI-Assisted Cervical Cancer Screening: Qualitative Study Based on the Macro Model of Health System.

BACKGROUND: Improving screening coverage is a central goal of the global strategy to eliminate cervical cancer. In resource-constrained settings, insu...