Artificial Intelligence Medical Compendium

BACKGROUND: This study assesses the capability of ChatGPT and nurses in accurately triaging emergency patients compared to veterinarians. METHODS: Retrospective observational study of canine patients that presented at a private veterinary specialist ... read more 

This study investigates how learners of Chinese as a Foreign Language (CFL) interact with generative artificial intelligence (GenAI) tools to support oral script-writing within a project-based learning (PBL) environment. Positioned at the intersectio... read more 

Advancements in generative artificial intelligence (genAI) have made it easier to impersonate someone else, allowing users to create realistic images of entirely new personas or trusted individuals. While susceptibility to message-based inauthenticit... read more 

BACKGROUND: Gait intention is typically detected using electroencephalogram (EEG) and primarily focuses on recognizing the initiation of walking. Recently, wearable sensors have been extensively used to classify different walking patterns. RESEARCH Q... read more 

BACKGROUND AND PURPOSE: To monitor multiple sclerosis (MS) progression, follow-up MRIs are used to detect new or enlarging lesions (ELs), typically through manual comparison - a time-consuming, error-prone process. This retrospective study used Pixyl... read more 

Emerging evidence highlights RNA N6-methyladenosine (m6A) modifications as pivotal regulators of tumorigenesis, yet the synergistic roles of m6A readers in the pathogenesis and prognosis of acute myeloid leukemia (AML) remains unclear. By leveraging ... read more 

DNA methylation-based classification is now central to contemporary neuro-oncology, as highlighted by the World Health Organization (WHO) classification of central nervous system (CNS) tumors. We present the Heidelberg CNS Tumor Methylation Classifie... read more 

We report the results of LINUX (NCT05594095), a multicenter, randomized, controlled phase II platform trial aiming to identify effective precision treatments for hormone receptor-positive/human epidermal growth factor receptor 2-negative metastatic b... read more 

The broken rate of maize kernels during mechanised harvesting directly affects food quality and economic returns. However, the current qualitative detection methods cannot accurately assess the corn kernel breakage rate. The study proposed a maize ke... read more 

Artificial intelligence has emerged as a promising tool in fetal medicine, with applications in prenatal imaging, anomaly detection, and biometric analysis. Peer-reviewed studies have reported high accuracy for AI models in identifying congenital hea... read more