Artificial Intelligence Medical Compendium

Atopic dermatitis (AD) is a common chronic inflammatory skin disease with diverse clinical phenotypes. Although a variety of drugs are available, the current clinical treatment still cannot meet the needs of patients with AD. In this study, we design... read more 

PURPOSE: To develop and validate a multimodal ensemble machine learning model integrating multi-sequence magnetic resonance imaging (MRI) radiomics, clinical characteristics, and hematological biomarkers for early prediction of Radiation-induced temp... read more 

PURPOSE: The purpose is to analyze and compare the quality and readability of information regarding anterior shoulder instability and shoulder stabilization surgery from three LLMs: ChatGPT 4o, ChatGPT Orthopaedic Expert (OE) and Google Gemini. METHO... read more 

OBJECTIVES: This study aimed to assess the current utilization of artificial intelligence (AI) tools among emergency physicians, their attitudes toward AI in clinical practice, and how a national physician professional organization could best support... read more 

Artificial intelligence (AI) tools and technologies are increasingly being integrated into emergency medicine (EM) practice, not only offering potential benefits such as improved efficiency, better patient experience, and increased safety, but also r... read more 

The strategic engineering of crystalline defects has been proven effective in enhancing the efficiency of metallic catalysts. However, owing to the confined and metastable nature of these defects, controlling their formation in nanosized particles re... read more 

Precise drug delivery in the biliary tract remains challenging due to the dynamic physiological environment and lack of control in existing systems. Here we report a thermo- and pH-responsive semi-permeable catheter with unidirectional drug transport... read more 

Large language models (LLMs) originally developed for human text have been adapted to proteomics as protein language models (pLMs). These models treat amino acid sequences like sentences, and they learn patterns from millions of sequences. pLMs are u... read more 

Lung adenocarcinoma (LUAD) is the most common subtype of lung cancer and is difficult to distinguish from benign pulmonary nodules (BPNs), particularly at early stages. Extracellular vesicles (EVs) represent a promising source of biomarkers for the d... read more 

The methaniminium cation, CH2NH2+, plays an important role in Titan's N2-CH4 atmospheric chemistry. As the simplest protonated Schiff base (PSB), it also serves as a model for studying the nonadiabatic dynamics of the retinal PSB, the chromophore cen... read more