Ho-ho-ho! Gather ’round, my jolly friends, for I have a tale to tell—not of reindeer and elves, but of the vexing condition known as Trigeminal Neuralgia (TN), a most unwelcome visitor in the realm of facial pain. Much like the elusive perfect toy, TN is a challenge to treat, with many patients finding themselves on a sleigh ride to surgery after their medications have lost their magic.

In the land of TN, there are three known types: the classic form, often caused by a mischievous neurovascular conflict, much like a tangle in Christmas lights; a secondary form, which could be the work of a misfit toy like multiple sclerosis or a cerebello-pontine angle tumor; and an idiopathic form, as mysterious as the contents of a wrapped present with no tag.

Despite the best efforts of the elves in white coats, TN can be as persistent as a fruitcake, returning even after multiple surgical interventions. This, my dear friends, is a testament to our incomplete understanding of this condition, as if we’re trying to assemble a toy without instructions.

But fear not, for the workshop of medicine has a new tool: Artificial Intelligence (AI). Like a high-tech sleigh, AI uses the power of computing to extend the capabilities of human intelligence. In recent years, it has spread its cheer across various medical fields, helping to improve diagnostic accuracy, treatment selection, and even the crafting of new remedies.

This mini-review, as cozy as a cup of cocoa, aims to present the state-of-art of AI’s role in diagnosing and managing TN. So, let’s dash away through the snow of information and see how AI might just be the Rudolph that guides our sleigh towards better outcomes for those affected by TN. Merry reading!