AIMC Topic: Artificial Intelligence

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Opportunistic assessment of abdominal aortic calcification using artificial intelligence (AI) predicts coronary artery disease and cardiovascular events.

American heart journal
BACKGROUND: Abdominal computed tomography (CT) is commonly performed in adults. Abdominal aortic calcification (AAC) can be visualized and quantified using artificial intelligence (AI) on CTs performed for other clinical purposes (opportunistic CT). ...

A roadmap for artificial intelligence in pain medicine: current status, opportunities, and requirements.

Current opinion in anaesthesiology
PURPOSE OF REVIEW: Artificial intelligence (AI) represents a transformative opportunity for pain medicine, offering potential solutions to longstanding challenges in pain assessment and management. This review synthesizes the current state of AI appl...

New insights in preanalytical quality.

Clinical chemistry and laboratory medicine
The negative impact of preanalytical errors on the quality of laboratory testing is now universally recognized. Nonetheless, recent technological advancements and organizational transformations in healthcare - catalyzed by the still ongoing coronavir...

ChatGPT-4o outperforms gemini advanced in assisting multidisciplinary decision-making for advanced gastric cancer.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
BACKGROUND & AIMS: The treatment of advanced gastric cancer (GC) requires precise and comprehensive clinical decision-making. Artificial intelligence (AI) chatbots offer potential tools to enhance multidisciplinary team (MDT) discussions. This study ...

KRN-DTI: Towards accurate drug-target interaction prediction with Kolmogorov-Arnold and residual networks.

Methods (San Diego, Calif.)
Predicting drug-target interactions (DTIs) accurately is essential in the field of drug discovery. Recently, artificial intelligence (AI) technologies, especially graph convolutional networks (GCNs), have been developed to tackle this challenge. Howe...

Pair-wise or high-order? A self-adaptive graph framework for knowledge graph embedding.

Neural networks : the official journal of the International Neural Network Society
Knowledge graphs (KGs) depict entities as nodes and connections as edges, and they are extensively utilized in numerous artificial intelligence applications. However, knowledge graphs often suffer from incompleteness, which seriously affects downstre...

Can ChatGPT provide parent education for oral immunotherapy?

Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology
BACKGROUND: Oral Immunotherapy (OIT) has exhibited great potential in the treatment of food allergy. However, there is no global consensus on best practices of OIT. Parents of allergic children often struggle with concerns regarding OIT methodology, ...

DeepSeek's Readiness for Medical Research and Practice: Prospects, Bottlenecks, and Global Regulatory Constraints.

Annals of biomedical engineering
DeepSeek, an open-source multimodal Large Language Model (LLM), was launched by the Chinese startup (Hangzhou DeepSeek Artificial Intelligence Basic Technology Research Co., Ltd.). Despite the lack of advanced artificial intelligence (AI) chips, the ...

Artificial intelligence for RNA-ligand interaction prediction: advances and prospects.

Drug discovery today
Accurate prediction of RNA-ligand interactions is vital for understanding biological processes and advancing RNA-targeted drug discovery. Given their complexity, artificial intelligence (AI) is revolutionizing the study of RNA-ligand interactions, of...