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OB-Gyn Subcategories: Fibroids HRT Infertility Ovarian Cancer Pregnancy

Showing 841-861 of 3,091 articles

Using artificial intelligence system for assisting the classification of breast ultrasound glandular tissue components in dense breast tissue.

To investigate the potential of employing artificial intelligence (AI) -driven breast ultrasound ana...

Apr 2025 40189689

Robot-assisted ultrasound probe calibration for image-guided interventions.

BACKGROUND: Trackable ultrasound probes facilitate ultrasound-guided procedures, allowing real-time ...

Apr 2025 40183862

Predicting high-risk factors for postoperative inadequate analgesia and adverse reactions in cesarean delivery surgery: a prospective study.

BACKGROUND: Early identification of high-risk factors for inadequate analgesia and adverse reactions...

Apr 2025 40505037

A domain adaptation model for carotid ultrasound: Image harmonization, noise reduction, and impact on cardiovascular risk markers.

Deep learning has been used extensively for medical image analysis applications, assuming the traini...

Apr 2025 40179806

Prediction of IUGR condition at birth by means of CTG recordings and a ResNet model.

OBJECTIVE: Sub-optimal uterine-placental perfusion and fetal nutrition can lead to intrauterine grow...

Apr 2025 40184939

Evaluating how different balancing data techniques impact on prediction of premature birth using machine learning models.

Premature birth can be defined as birth before 37 weeks of gestation, which is a significant global ...

Apr 2025 40173408

Peptide-functionalized nanoparticles for brain-targeted therapeutics.

Despite the rapid development of nanoparticle (NP)-based drug delivery systems, intravenous delivery...

Mar 2025 40164912

Automatic Human Embryo Volume Measurement in First Trimester Ultrasound From the Rotterdam Periconception Cohort: Quantitative and Qualitative Evaluation of Artificial Intelligence.

BACKGROUND: Noninvasive volumetric measurements during the first trimester of pregnancy provide uniq...

Mar 2025 40163035

Effectiveness and clinical impact of using deep learning for first-trimester fetal ultrasound image quality auditing.

BACKGROUND: Regular auditing of ultrasound images is required to maintain quality; however, manual a...

Mar 2025 40165135

Deep Learning Based on Ultrasound Images Differentiates Parotid Gland Pleomorphic Adenomas and Warthin Tumors.

Exploring the clinical significance of employing deep learning methodologies on ultrasound images fo...

Mar 2025 40156239

Guided ultrasound acquisition for nonrigid image registration using reinforcement learning.

We propose a guided registration method for spatially aligning a fixed preoperative image and untrac...

Mar 2025 40168873

Accurate prediction of mediolateral episiotomy risk during labor: development and verification of an artificial intelligence model.

OBJECTIVE: The study developed an intelligent online evaluation system for mediolateral episiotomy, ...

Mar 2025 40158168

Placing Objects on Table Is Preferred over Direct Handovers When Users Are Occupied.

Service robots commonly deliver objects through direct handovers, assuming users are fully attentive...

Mar 2025 40218653

Machine learning combined with infrared spectroscopy for detection of hypertension pregnancy: towards newborn and pregnant blood analysis.

Biochemical changes in the cervix during labor are not well understood. This gap in knowledge is sig...

Mar 2025 40148838

Interpretable machine learning-based insights into early-life endocrine disruptor exposure and small vulnerable newborns.

Early-life exposure to endocrine-disrupting chemicals (EDCs) may contribute to small vulnerable newb...

Mar 2025 40158502

Predicting Risk for Patent Ductus Arteriosus in the Neonate: A Machine Learning Analysis.

: Patent ductus arteriosus (PDA) is common in newborns, being associated with high morbidity and mor...

Mar 2025 40282894

Multi-center study: ultrasound-based deep learning features for predicting Ki-67 expression in breast cancer.

Applying deep learning algorithms to mine ultrasound features of breast cancer and construct a machi...

Mar 2025 40133523

Early prediction of intraventricular hemorrhage in very low birth weight infants using deep neural networks with attention in low-resource settings.

Early prediction of intraventricular hemorrhage (IVH) in very low-birthweight infants (VLBWIs) remai...

Mar 2025 40128228

Obstetrics & Gynecology

Browse Categories

Using artificial intelligence system for assisting the classification of breast ultrasound glandular tissue components in dense breast tissue.

Robot-assisted ultrasound probe calibration for image-guided interventions.

Predicting high-risk factors for postoperative inadequate analgesia and adverse reactions in cesarean delivery surgery: a prospective study.

A domain adaptation model for carotid ultrasound: Image harmonization, noise reduction, and impact on cardiovascular risk markers.

Prediction of IUGR condition at birth by means of CTG recordings and a ResNet model.

Evaluating how different balancing data techniques impact on prediction of premature birth using machine learning models.

Peptide-functionalized nanoparticles for brain-targeted therapeutics.

Automatic Human Embryo Volume Measurement in First Trimester Ultrasound From the Rotterdam Periconception Cohort: Quantitative and Qualitative Evaluation of Artificial Intelligence.

Effectiveness and clinical impact of using deep learning for first-trimester fetal ultrasound image quality auditing.

Deep Learning Based on Ultrasound Images Differentiates Parotid Gland Pleomorphic Adenomas and Warthin Tumors.

Guided ultrasound acquisition for nonrigid image registration using reinforcement learning.

Accurate prediction of mediolateral episiotomy risk during labor: development and verification of an artificial intelligence model.

Placing Objects on Table Is Preferred over Direct Handovers When Users Are Occupied.

Machine learning combined with infrared spectroscopy for detection of hypertension pregnancy: towards newborn and pregnant blood analysis.

Interpretable machine learning-based insights into early-life endocrine disruptor exposure and small vulnerable newborns.

Predicting Risk for Patent Ductus Arteriosus in the Neonate: A Machine Learning Analysis.

Multi-center study: ultrasound-based deep learning features for predicting Ki-67 expression in breast cancer.

Early prediction of intraventricular hemorrhage in very low birth weight infants using deep neural networks with attention in low-resource settings.

Flip Learning: Weakly supervised erase to segment nodules in breast ultrasound.

Quadrupole Magnetic Tweezers for Precise Cell Transportation.

Multiple Instance Learning-Based Prediction of Blood-Brain Barrier Opening Outcomes Induced by Focused Ultrasound.

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