Latest AI and machine learning research in pregnancy for healthcare professionals.
In vivo genetic engineering of T cells could overcome the logistical, biological, and safety challen...
Transcranial focused ultrasound is an emerging noninvasive neuromodulation technique that offers hig...
Primary and metastatic brain tumors are among the deadliest and treatment-resistant cancers, mainly ...
CRISPR-associated transposons (CAST) use guide RNAs to direct their transposition and are being harn...
Pregnancy induces neuroanatomical changes in the human brain. Earlier studies detected traces of mot...
Tractography currently relies almost exclusively on diffusion data and seed maps, which alone remain...
Sex hormone fluctuations modulate structural and functional brain dynamics, yet little is known how ...
Placenta pathology provides diagnostic insights for understanding pregnancy complications and guides...
Abdominal ultrasound is a crucial first-line diagnostic tool, yet its efficacy is inherently constra...
Craniofacial malformation (CFM) is a congenital defect encompassing a wide range of phenotypic prese...
Pollination is essential for plant reproduction, ecosystem resilience and human health. Yet, our cap...
Schizophrenia (SCZ) is a neurodevelopmental disorder where both genetic and environmental risks conv...
Chronic diseases often require repeated oral or local administration, which can compromise patient c...
Can machine learning be used to reliably and accurately predict 18-month developmental outcomes from...
This study investigates the feasibility of reducing manual image annotation costs in medical image d...
To assess the rate of retinal vascularisation derived from ultra-widefield (UWF) imaging-based retin...
Large language models (LLMs) enhanced with Graph Retrieval-Augmented Generation (GRAG) are promising...
Escalating thyroid nodule prevalence necessitates precise ultrasonographic diagnosis, which is const...
The detailed assessment of fetal brain maturation and development involves morphological evaluation,...
To evaluate whether large language models (LLMs) applied to prenatal clinical notes can predict post...
The rapid advancement of AI in ophthalmology is transforming diagnostics, especially in resource-lim...