Recently, significant improvements have been made in artificial intelligence. The artificial neural network was introduced in the 1950s. However, because of the low computing power and insufficient datasets available at that time, artificial neural networks suffered from overfitting and vanishing gradient problems for training deep networks. This concept has become more promising owing to the enhanced big data processing capability, improvement in computing power with parallel processing units, and new algorithms for deep neural networks, which are becoming increasingly successful and attracting interest in many domains, including computer vision, speech recognition, and natural language processing. Recent studies in this technology augur well for medical and healthcare applications, especially in endoscopic imaging. This paper provides perspectives on the history, development, applications, and challenges of deep-learning technology.

Pituitary tumors occur in 15-50% of patients with multiple endocrine neoplasia of type 1 (MEN1). To the best of our knowledge, no MEN1 case in which the initial lesion was an invasive giant prolactinoma has been reported from Korea. We describe a patient in whom a skull-base tumor involved the sellar and parasellar spaces. A 49 year-old female presented with headache and diplopia. The tumor was ultimately identified as a giant prolactinoma; the serum prolactin concentration increased from 155.6 ng/mL to 3,234.3 ng/mL after cranial irradiation. She was evaluated in terms of incidental hypercalcemia and was found to have parathyroid hyperplasia. Genetic analysis revealed a missense mutation in the MEN1 gene (c.643G>A, p.Val215Met). Two years of treatment with a dopamine agonist reduced, but did not normalize, the serum prolactin concentration. We highlight the aggressive behavior of the giant skull-base tumor, and the diagnostic delay caused by a high-dose hook effect of the MEN1-related prolactinoma.
Cranial Irradiation ; Diplopia ; Dopamine Agonists ; Female ; Headache ; Humans ; Hypercalcemia ; Hyperplasia ; Korea ; Multiple Endocrine Neoplasia Type 1* ; Multiple Endocrine Neoplasia* ; Mutation, Missense ; Pituitary Neoplasms ; Prolactin ; Prolactinoma*