Latest AI and machine learning research in pregnancy for healthcare professionals.
OBJECTIVE: The fetal ultrasound examination is the significant task of mid-term pregnancy inspection...
The integration of artificial intelligence (AI) into laboratory medicine, is revolutionizing diagnos...
To investigate the feasibility of robot-assisted teleultrasound diagnosis for radioactive patients c...
Early pregnancy loss (EPL) may result from exposure to emerging contaminants (ECs), although the und...
OBJECTIVE: To develop a machine learning (ML) model using clinical data and ultrasound features for ...
OBJECTIVE: Although artificial intelligence (AI) is increasingly being applied to ultrasound imaging...
Obstetric ultrasound (OBUS) is recommended as part of antenatal care for pregnant individuals worldw...
Accurately and swiftly segmenting breast tumors is significant for cancer diagnosis and treatment. U...
OBJECTIVE: To analyze the influencing factors of early-onset preeclampsia (EOPE). And to construct a...
BACKGROUND: Intrahepatic cholestasis of pregnancy (ICP) is a liver disorder that occurs in the secon...
BACKGROUND: Fetal growth restriction (FGR) is a leading risk factor for stillbirth, yet the diagnosi...
BACKGROUND: The risk of malignancy in thyroid nodules is higher in children than in adults, often ne...
This narrative review examines the integration of Artificial Intelligence (AI) in prenatal care, par...
OBJECTIVES: Ultrasound is a promising low-risk imaging modality that can provide objective airway me...
Temporal echocardiography image registration is important for cardiac motion estimation, myocardial ...
Water scarcity and labor shortage pose significant challenges in rice farming. Direct-seeded rice (D...
With developments in computer science and technology, great progress has been made in three-dimensio...
BACKGROUND AND OBJECTIVE: To assess whether conventional brightness-mode (B-mode) transrectal ultras...
AIMS: The objective of this study is to illustrate the application of a machine learning algorithm, ...
To retrospectively develop and validate an interpretable deep learning model and nomogram utilizing ...
OBJECTIVE: This study aimed to develop an ultrasound image-based radiomics model for diagnosing cerv...