Artificial Intelligence Medical Compendium

Retinopathy of prematurity (ROP) is a vasoproliferative blinding disorder of the retina, unique to premature infants and a leading cause of preventable childhood blindness globally. Screening of premature babies aims to identify disease reaching a th... read more 

The chemical behavior of water and hydrocarbons under extreme pressures and temperatures lies at the heart of processes shaping planetary interiors, influences the deep carbon cycle, and underpins innovative high-temperature, high-pressure material s... read more 

Over four decades, Korea has advanced from a limited cytology service to a global model of digital and AI-integrated cytopathology. Since the founding of the Korean Society for Cytopathology (KSC) in 1986, a nationwide framework has been established-... read more 

OBJECTIVE: This study aimed to compare the performance of artificial intelligence-based deep convolutional neural networks, YOLOv8, YOLOv11, and YOLOv12, in segmenting dental injuries using panoramic films of pediatric patients with traumatic dental ... read more 

BACKGROUND: Patient mood assessment is key in managing chronic diseases but is often overlooked. Although conversational agents enhance telemonitoring and engagement, few healthbots incorporate automated mood analysis into routine clinical workflows ... read more 

Effective recycling of spent LiNixCoyMn1-x-yO2 (NCM) battery is crucial to ensure sustainability of the lithium-ion battery industry. However, recycling is inherent with multiple operational steps and many effective factors. It is difficult to optimi... read more 

Coral reef ecosystems provide essential ecosystem services, but face significant threats from climate change and human activities. Although advances in deep learning have enabled automatic classification of coral reef conditions, conventional deep mo... read more 

The human gut microbiome contains numerous proteins whose functions remain elusive yet are pivotal to host health. Sequence-based methods often falter when attempting to infer functions within this microbial proteome due to evolutionary divergence. T... read more 

Traditional neural decoders link neural activity to behavior within single trials of a session, overlooking correlations across trials and sessions. However, animals show similar neural patterns when performing the same task, and their behaviors are ... read more 

BACKGROUND: The fetal abdomen is crucial in prenatal screening, offering key insights into fetal growth and congenital anomalies. However, segmenting internal abdominal structures in ultrasound (US) remains challenging due to anatomical variability, ... read more