Artificial Intelligence Medical Compendium

Leveraging multimodal information from Magnetic Resonance Imaging (MRI) plays a vital role in lesion segmentation, especially for brain tumors. However, in clinical practice, multimodal MRI data are often incomplete, making it challenging to fully ut... read more 

In medical imaging, segmentation is a critical task for analysis and diagnosis. Deep learning-based segmentation has been actively studied and has shown remarkable performance. Building high-accuracy segmentation models requires a large amount of hig... read more 

BACKGROUND: The postoperative prognosis of pathological stage IA lung adenocarcinoma (LUAD) exhibits significant heterogeneity. While the tumor node metastasis (TNM) staging system offers limited recurrence prediction capability, this study aims to d... read more 

This commentary delineates the developmental pathway of artificial intelligence (AI) in ultrasound follicular monitoring, highlighting a paradigm shift from automated segmentation to clinical decision support. The deep learning-based CR-Unet and C-Re... read more 

Early detection of fetal cardiac diseases can dramatically improve neonatal outcomes by enabling timely intervention and informed clinical management. However, accurate diagnosis remains challenging due to the complexity of fetal heart structures in ... read more 

Chronic diseases remain major global health burdens, and early detection is essential for preventing progression and reducing complications. Saliva, a non-invasive, information-rich, and easily preserved biofluid, offers a viable alternative to invas... read more 

read more 

INTRODUCTION AND AIMS: The use of large language models (LLMs) in healthcare is expanding. Retrieval-augmented generation (RAG) addresses key LLM limitations by grounding responses in domain-specific, up-to-date information. This study evaluated RAG-... read more 

Systemic risks will be amplified due to global warming as climate-related shocks, like extreme weather events, cause cascading and compounding impacts across sectors and systems. To better understand and manage systemic risk, inter- and transdiscipli... read more 

The identification of active catalytic species and reaction mechanisms remains a challenging obstacle in catalyst design for the Oxidative Coupling of Methane (OCM), as reaction pathways are dependent on a catalyst's chemistry, structure, and reactio... read more