AIMC Topic: Artificial Intelligence

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Artificial intelligence and headache.

Cephalalgia : an international journal of headache
BACKGROUND AND METHODS: In this narrative review, we introduce key artificial intelligence (AI) and machine learning (ML) concepts, aimed at headache clinicians and researchers. Thereafter, we thoroughly review the use of AI in headache, based on a c...

Comparison of the Usability and Reliability of Answers to Clinical Questions: AI-Generated ChatGPT versus a Human-Authored Resource.

Southern medical journal
OBJECTIVES: Our aim was to compare the usability and reliability of answers to clinical questions posed of Chat-Generative Pre-Trained Transformer (ChatGPT) compared to those of a human-authored Web source (www.Pearls4Peers.com) in response to "real-...

Artificial intelligence in fusion protein three-dimensional structure prediction: Review and perspective.

Clinical and translational medicine
Recent advancements in artificial intelligence (AI) have accelerated the prediction of unknown protein structures. However, accurately predicting the three-dimensional (3D) structures of fusion proteins remains a difficult task because the current AI...

Next generation mycological diagnosis: Artificial intelligence-based classifier of the presence of Malassezia yeasts in tape strip samples.

Mycoses
BACKGROUND: Malassezia yeasts are almost universally present on human skin worldwide. While they can cause diseases such as pityriasis versicolor, their implication in skin homeostasis and pathophysiology of other dermatoses is still unclear. Their a...

Medical artificial intelligence for clinicians: the lost cognitive perspective.

The Lancet. Digital health
The development and commercialisation of medical decision systems based on artificial intelligence (AI) far outpaces our understanding of their value for clinicians. Although applicable across many forms of medicine, we focus on characterising the di...

The diagnostic and triage accuracy of the GPT-3 artificial intelligence model: an observational study.

The Lancet. Digital health
BACKGROUND: Artificial intelligence (AI) applications in health care have been effective in many areas of medicine, but they are often trained for a single task using labelled data, making deployment and generalisability challenging. How well a gener...

Artificial intelligence for diabetes care: current and future prospects.

The lancet. Diabetes & endocrinology
Artificial intelligence (AI) use in diabetes care is increasingly being explored to personalise care for people with diabetes and adapt treatments for complex presentations. However, the rapid advancement of AI also introduces challenges such as pote...