Artificial Intelligence Medical Compendium

OBJECTIVES: The current study evaluates the efficacy of artificial intelligence (AI)-assisted measurement of cervical length (CL) in predicting spontaneous preterm birth (sPTB), comparing the traditional single-line and two-line methods with the inno... read more 

BACKGROUND: The WHO recommends that all pregnant women receive an ultrasound (US) scan prior to 24 weeks gestation to encourage early identification of various conditions, such as fetal anomalies, multiple gestation, and placental abnormalities; howe... read more 

Biomedical review articles are important for education, evidence synthesis, and clinical decision-making. Large language models such as ChatGPT may contribute to a surge in the number of AI-written reviews, raising concerns about the quality and reli... read more 

High-entropy strategy presents a promising approach for enhancing the piezoelectric properties of bismuth layer-structured ferroelectrics, yet the vast compositional space poses significant challenges for traditional trial-and-error methods. In this ... read more 

Histopathological image analysis is critical for cancer diagnosis, yet many existing models suffer from limited interpretability, high computational demands, and suboptimal classification accuracy. To overcome these limitations, we propose a novel mo... read more 

UNLABELLED: Neonatal jaundice (NJ) might increase the risk of autism spectrum disorder (ASD) in children. This study examined whether alterations in the gut microbiota could explain the link between NJ and ASD. We analyzed three cohorts: NJ cohort 1 ... read more 

PURPOSE: With growing interest in modeling neurobehavior, there is increased interest in understanding patterns of functional connectivity (FC) during language processing. Previous research has suggested that static resting-state functional magnetic ... read more 

OBJECTIVE: To assess the effectiveness of deep learning architectures in automatically classifying head positioning errors on panoramic radiographs (PRs). METHODS: A total of 480 anonymized PR images were retrospectively collected and categorized by ... read more 

OBJECTIVE: The aim of this study is to detect the C-shaped canal formation in mandibular second molars on panoramic radiographs based on different Deep Convolutional Neural Networks (DCNNs) trained using panoramic radiographs. METHOD: This study incl... read more 

Orthopaedic surgeons are the custodians of the musculoskeletal system in Singapore, with >350 orthopaedic surgeons looking after the whole continuum of musculoskeletal disease in a population of 6 million. Orthopaedic research in Singapore currently ... read more