AIMC Topic: Biomedical Research

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The biomedical applications of artificial intelligence: an overview of decades of research.

Journal of drug targeting
A significant area of computer science called artificial intelligence (AI) is successfully applied to the analysis of intricate biological data and the extraction of substantial associations from datasets for a variety of biomedical uses. AI has attr...

Artificial intelligence in rheumatology research: what is it good for?

RMD open
Artificial intelligence (AI) is transforming rheumatology research, with a myriad of studies aiming to improve diagnosis, prognosis and treatment prediction, while also showing potential capability to optimise the research workflow, improve drug disc...

Leveraging Large Language Models in Radiology Research: A Comprehensive User Guide.

Academic radiology
Large Language Models (LLMs) such as ChatGPT have been increasingly integrated into radiology research, revolutionizing the research landscape. The Radiology Research Alliance (RRA) of the Association for Academic Radiology (AAR) has convened a Task ...

The global trends and distribution in tumor-infiltrating lymphocytes over the past 49 years: bibliometric and visualized analysis.

Frontiers in immunology
BACKGROUND: The body of research on tumor-infiltrating lymphocytes (TILs) is expanding rapidly; yet, a comprehensive analysis of related publications has been notably absent.

Influence of next-generation artificial intelligence on headache research, diagnosis and treatment: the junior editorial board members' vision - part 2.

The journal of headache and pain
Part 2 explores the transformative potential of artificial intelligence (AI) in addressing the complexities of headache disorders through innovative approaches, including digital twin models, wearable healthcare technologies and biosensors, and AI-dr...

[A national survey from the French Society of Pathology on research and application of artificial intelligence in pathology].

Annales de pathologie
The 2030 French Innovation Healthcare national plan defined "Digital Healthcare" as one of its priority. The deployment of digital pathology and artificial intelligence fits perfectly into this framework. Therefore we evaluated the pathologist's inte...

Use of large language models as artificial intelligence tools in academic research and publishing among global clinical researchers.

Scientific reports
With breakthroughs in Natural Language Processing and Artificial Intelligence (AI), the usage of Large Language Models (LLMs) in academic research has increased tremendously. Models such as Generative Pre-trained Transformer (GPT) are used by researc...

Artificial intelligence in pediatric allergy research.

European journal of pediatrics
UNLABELLED: Atopic dermatitis, food allergy, allergic rhinitis, and asthma are among the most common diseases in childhood. They are heterogeneous diseases, can co-exist in their development, and manifest complex associations with other disorders and...

Clinical and research applications of natural language processing for heart failure.

Heart failure reviews
Natural language processing (NLP) is a burgeoning field of machine learning/artificial intelligence that focuses on the computational processing of human language. Researchers and clinicians are using NLP methods to advance the field of medicine in g...

Redefining Biomedicine: Artificial Intelligence at the Forefront of Discovery.

Biomolecules
The rapid evolution of artificial intelligence (AI) is redefining biomedicine, placing itself at the forefront of groundbreaking discoveries in molecular biology, genomics, drug discovery, diagnostics, and beyond [...].