Latest AI and machine learning research in pregnancy for healthcare professionals.
Accurate identification of pathological complete response (pCR) following neoadjuvant chemoradiotherapy for locally advanced rectal cancer (LARC) is critical for non-operative "watch-and-wait" strategies. In this study, we evaluated whether co-registered acoustic resolution photoacoustic microscopy and ultrasound (ARPAM-US) endoscopy with deep learning could better identify pCR than T2-weighted MR...
STUDY OBJECTIVE: Point-of-care ultrasound (PoCUS) is widely used in trauma care through the Focused Assessment with Sonography for Trauma (FAST) protocol, but its accuracy is highly operator-dependent. Artificial intelligence (AI) may reduce variability and improve reliability. This systematic review and meta-analysis evaluated the diagnostic accuracy of AI-assisted PoCUS for detecting free fluid ...
Neurodegenerative diseases frequently co-occur with skeletal muscle atrophy, creating a complex comorbid condition that significantly accelerates func...
BACKGROUND AND OBJECTIVE: Accurate and safe needle insertion is critical in abdominal percutaneous interventions, particularly for liver-targeted proc...
Breast lesion segmentation and classification in ultrasound (US) images are two essential tasks for computer-aided diagnosis of breast cancer. However...
PURPOSE: Echocardiographic interpretation requires video-level reasoning and guideline-based measurement analysis, which current deep learning models ...
OBJECTIVE: To develop and validate habitat radiomics as a biomarker for predicting axillary lymph node metastasis (ALNM) in clinically node-negative (...
UNLABELLED: Immunization is one of the most effective interventions to prevent infectious diseases. Identifying individuals at risk of non-adherence t...
OBJECTIVE: To examine how robot adoption affects workers' health in China. METHODS: Using China family panel studies data matched with regional robot ...
OBJECTIVE: To explore clinically meaningful phenotypes of preeclampsia using unsupervised machine learning. DESIGN: Prospective cohort study. SETTING:...
Poorly soluble drug delivery is a long-standing core challenge in the pharmaceutical field. With a drug loading capacity close to 100% and no requirem...
Ultrasound Computed Tomography (USCT) represents a paradigm shift in medical imaging, offering quantitative, high-resolution tissue characterization f...
AIMS: Heart failure is prevalent; however, there is no cost-effective screening option. Against formal echocardiography, we assessed the diagnostic pe...
Magnetically controlled soft microrobots, by virtue of their exceptional flexibility and noninvasiveness, exhibit immense potential in the field of mi...
BACKGROUND: Ex-premature infants have a high risk of postoperative apnea and bradycardia. This study aimed to develop a predictive model for postopera...
Micro/nanorobots have attracted much attention because of their potential to perform complex tasks with high precision under controlled actuation with...
Advancements in drug delivery systems (DDSs) have revolutionized pharmaceutical development by enhancing therapeutic precision, minimizing off-target ...
BACKGROUND: Human aneuploid conception, a leading cause of infertility, pregnancy loss, and congenital disorders (e.g. Down's syndrome), arises from e...
BACKGROUND: The maintenance and progression of pregnancy rely on immune homeostasis at the maternal-fetal interface. However, pregnancy complicated by...
Health informatics and artificial intelligence (AI) technologies are increasingly influencing pediatric health care delivery across diverse health sys...