Idiopathic intracranial hypertension (IIH) is a neurological disorder that causes an unexplained increase in intracranial pressure. Its main clinical manifestations include chronic headache, visual impairment, and typical unilateral or bilateral disk edema found on fundus examination. The diagnosis of IIH depends on the exclusion of other diseases that may cause increased intracranial pressure and further confirmation by systemic and neurological imaging. Current treatment strategies for IIH include lifestyle adjustments for weight loss, pharmacological interventions, and surgery if necessary to reduce intracranial pressure and relieve patient-related symptoms. Maximum protection and restoration of visual function. In the future, it is necessary to further improve the IIH diagnostic process and criteria to guide personalized treatment and prognosis judgment. The effective use of artificial intelligence technology for image segmentation and combined image omics analysis is expected to improve the accuracy of IIH intelligent diagnosis, achieve earlier and more accurate disease detection, and provide patients with a more personalized treatment path.

Idiopathic intracranial hypertension (IIH) is a neurological disorder that causes an unexplained increase in intracranial pressure. Its main clinical manifestations include chronic headache, visual impairment, and typical unilateral or bilateral disk edema found on fundus examination. The diagnosis of IIH depends on the exclusion of other diseases that may cause increased intracranial pressure and further confirmation by systemic and neurological imaging. Current treatment strategies for IIH include lifestyle adjustments for weight loss, pharmacological interventions, and surgery if necessary to reduce intracranial pressure and relieve patient-related symptoms. Maximum protection and restoration of visual function. In the future, it is necessary to further improve the IIH diagnostic process and criteria to guide personalized treatment and prognosis judgment. The effective use of artificial intelligence technology for image segmentation and combined image omics analysis is expected to improve the accuracy of IIH intelligent diagnosis, achieve earlier and more accurate disease detection, and provide patients with a more personalized treatment path.