AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Biomedical Research

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Update on ethical aspects in clinical research: Addressing concerns in the development of new AI tools in radiology.

Radiologia
The analysis of ethical aspects in clinical research has always been a challenge and has required constant updates. In short, research ethics is the set of specific principles, rules, and norms of behavior that a research community has decided are ap...

ChatGPT in medical research: challenging time ahead.

The Medico-legal journal
Since its launch, ChatGPT, an artificial intelligence-powered language model tool, has generated significant attention in research writing. The use of ChatGPT in medical research can be a double-edged sword. ChatGPT can expedite the research writing ...

Revealing Academic Evolution and Frontier Pattern in the Field of Uveitis Using Bibliometric Analysis, Natural Language Processing, and Machine Learning.

Ocular immunology and inflammation
PURPOSE: Numerous uveitis articles were published in this century, underneath which hides valuable intelligence. We aimed to characterize the evolution and patterns in this field.

An Interventional Radiologist's Primer of Critical Appraisal of Artificial Intelligence Research.

Journal of vascular and interventional radiology : JVIR
Recent advances in artificial intelligence (AI) are expected to cause a significant paradigm shift in all digital data-driven aspects of information gain, processing, and decision making in both clinical healthcare and medical research. The field of ...

Protocol to analyze fundus images for multidimensional quality grading and real-time guidance using deep learning techniques.

STAR protocols
Data quality issues have been acknowledged as one of the greatest obstacles in medical artificial intelligence research. Here, we present DeepFundus, which employs deep learning techniques to perform multidimensional classification of fundus image qu...

Artificial intelligence takes center stage: exploring the capabilities and implications of ChatGPT and other AI-assisted technologies in scientific research and education.

Immunology and cell biology
The emergence of large language models (LLMs) and assisted artificial intelligence (AI) technologies have revolutionized the way in which we interact with technology. A recent symposium at the Walter and Eliza Hall Institute explored the current prac...

Self-supervised deep learning for highly efficient spatial immunophenotyping.

EBioMedicine
BACKGROUND: Efficient biomarker discovery and clinical translation depend on the fast and accurate analytical output from crucial technologies such as multiplex imaging. However, reliable cell classification often requires extensive annotations. Labe...

Medical applications of generative adversarial network: a visualization analysis.

Acta radiologica (Stockholm, Sweden : 1987)
BACKGROUND: Deep learning (DL) is one of the latest approaches to artificial intelligence. As an unsupervised DL method, a generative adversarial network (GAN) can be used to synthesize new data.

Role of ChatGPT-4 for Medical Researchers.

Annals of biomedical engineering
The robustness of artificial intelligence (AI) in medical research has gotten a lot of attention in the current era. In particular, ChatGPT-4 is emerging as a notable AI language model. Basically, ChatGPT-4 is a state-of-the-art language model that m...