Latest AI and machine learning research in pregnancy for healthcare professionals.
Acute kidney injury (AKI) is a devastating complication of acute illness that affects adults and children across multiple settings worldwide and is associated with the development and progression of chronic kidney disease, increased mortality and increased resource utilization. Over the past two decades, standardization of criteria for AKI diagnosis and staging and the publication of multicentre s...
Artificial intelligence has emerged as a promising tool in fetal medicine, with applications in prenatal imaging, anomaly detection, and biometric analysis. Peer-reviewed studies have reported high accuracy for AI models in identifying congenital heart defects, segmenting brain structures, and predicting fetal growth patterns. Despite strong retrospective performance, most tools remain investigati...
Magnetically guided drug delivery (MGDD) employs magnetic forces acting on magnetically responsive drug delivery systems (DDS) to direct therapeutic a...
The diagnostic problem of grading evaluation of ultrasonic images of Metacarpophalangeal rheumatoid arthritis (RA) is mostly dependent on the skills o...
Excessive accumulation of reactive oxygen and nitrogen species (RONS) exacerbates inflammatory responses and contributes to the progression of psorias...
Plant pathogens cause substantial global crop losses, posing a serious threat to food security. Conventional chemical pesticides face increasing chall...
OBJECTIVE: To develop a deep learning model for differential diagnosis of acute scrotum using single ultrasound (US) images. PATIENTS AND METHODS: We ...
This article presents a curated dataset of transperineal pelvic floor ultrasound videos collected from 111 patients in a clinical setting using a Cano...
Breast cancer remains a leading threat to women's health worldwide and reducing mortality hinges on early detection. Contrast-enhanced ultrasound (CEU...
PURPOSE OF REVIEW: Skin and soft tissue infections (SSTIs) are one of the most frequent infections that need management either in outpatient setting o...
OBJECTIVE: To assess the diagnostic feasibility of transperineal biopsy guided by fusion of PET/MRI with [18F]F-PSMA-1007 and real-time transrectal ul...
Retinopathy of prematurity (ROP) is a vasoproliferative blinding disorder of the retina, unique to premature infants and a leading cause of preventabl...
OBJECTIVES: To introduce the KANET-connectome matrix (KANET-Con) as a conceptual framework linking fetal behaviors observed on four-dimensional (4D) u...
OBJECTIVE: This systematic review critically appraises the current landscape of physics-aware artificial intelligence (AI) in medical imaging for quan...
OBJECTIVE: Fetal growth restriction (FGR) is a progressive condition that amplifies risks with advancing gestation. This study develops a time-depende...
BACKGROUND: The fetal abdomen is crucial in prenatal screening, offering key insights into fetal growth and congenital anomalies. However, segmenting ...
Early and accurate monitoring of livestock health is critical for effective disease prevention, welfare assurance, and sustainable farm management. La...
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...
OBJECTIVES: To evaluate the performance of a CNN-based (convolutional neural networks-based) AI software for automatic recognition and measurement of ...
Human and veterinary healthcare systems face many parallel challenges, yet opportunities for cross-sectoral learning remain underexplored. This scopin...