Artificial Intelligence Medical Compendium

Large Language Models (LLMs) like OpenAI's ChatGPT-4o and Google's Gemini 2.5 Pro are increasingly used to retrieve care advice on specialized topics including exotic pet husbandry, raising concerns about accuracy and animal welfare. This study, to o... read more 

Fungal pathogens like Podosphaera xanthii (powdery mildew) and Botrytis cinerea (gray mold) cause significant agricultural losses, with fungicide resistance escalating due to the overreliance on conventional treatments. Consequently, the development ... read more 

read more 

BACKGROUND: Delayed bleeding is a common complication after endoscopic submucosal dissection. OBJECTIVE: Our study aimed to assess risk factors for delayed bleeding after endoscopic submucosal dissection in patients with colorectal precancerous lesio... read more 

INTRODUCTION: Since its launch, ChatGPT has generated both interest and concern in education. Between 2023 and 2024, institutional policies shifted from restrictive to conditional use, increasing student exposure. This cross-sectional study compared ... read more 

The rational design of self-assembling protein nanocages holds great promise for synthetic biology, biotechnology and biomedical applications. Protein nanocages are well-defined nanoparticles with an inner cavity formed by self-assembly of repetitive... read more 

The application of molecular laboratory methods to predict the expression of red blood cell antigens is well established in today's clinical transfusion practice. The advent of high-throughput molecular blood typing approaches - based on microarray, ... read more 

Long-term continuous monitoring of volatile organic compounds (VOCs) is essential for atmospheric pollution control, environmental health assessment, and climate change mitigation. Gas chromatography (GC) serves as the primary analytical technique fo... read more 

Accurate prediction and effective management of watershed nitrogen (N) and phosphorus (P) loads remain critical challenges in controlling non-point source (NPS) pollution. Most surrogate models rely primarily on land-use variables, overlooking the in... read more 

Detection of various lesions in brain MRI is clinically critical, but challenging due to the diversity of lesions and variability in imaging conditions. Current unsupervised learning methods detect anomalies mainly through reconstructing abnormal ima... read more