Latest AI and machine learning research in pregnancy for healthcare professionals.
Skin lesion is one of the most common diseases, and most categories are highly similar in morphology...
Ovarian lesions are common and often incidentally detected. A critical shortage of expert ultrasound...
Manual annotation of ultrasound images relies on expert knowledge and requires significant time and ...
Lipid nanoparticles (LNPs) have proven effective in mRNA delivery, as evidenced by COVID-19 vaccines...
This study aimed to explore a deep learning radiomics (DLR) model based on grayscale ultrasound imag...
Deep neural networks (DNNs) have remarkable potential to reconstruct ultrasound images. However, thi...
Self-propelled micro/nanomotors (MNMs) represent a groundbreaking advancement in precision drug deli...
Artificial intelligence (AI) is transforming medical radiation applications by handling complex data...
Deep-tissue solid cancer treatment has a poor prognosis, resulting in a very low 5-year patient surv...
The classification of Doppler ultrasound images plays an important role in the diagnosis of pregnanc...
INTRODUCTION: The incidence of gestational diabetes mellitus (GDM) in Australia has tripled in the l...
BACKGROUND: Modern radiation therapy techniques, such as intensity-modulated radiation therapy (IMRT...
Preeclampsia is one of the leading causes of maternal morbidity, with consequences during and after ...
BACKGROUND: Recurrent pregnancy loss (RPL) poses significant challenges in clinical management due t...
Target 3.7 of the Sustainable Development Goals (SDGs) aims for universal access to sexual and repro...
The rapid evolution of digital health technologies has significantly transformed health care deliver...
BACKGROUND: Globally, pre-eclampsia (PE) poses a major threat to the health and survival of pregnant...
BACKGROUND Subchorionic hematoma (SCH) can lead to blood accumulation and potentially affect pregnan...
PURPOSE: This study aimed to identify novel biomarkers for preeclampsia (PE) diagnosis by integratin...
This study aimed to predict preterm birth in nulliparous women using machine learning and easily acc...
Many individuals with autism experience challenges using language in social contexts (i.e., pragmati...