Abscess formation within a Rathkes’s cleft cyst (RCC) is extremely rare, particularly at a young age. We report the case of a young girl with abscess formation in RCC. A 21-year-old female presented with headache, vomiting, visual deterioration and features suggestive of hypopituitarism. She had bitemporal hemianopia with impairment of visual acuity. MRI revealed a cystic lesion in the sella with suprasellar extension and peripheral rim enhancement. On the basis of history and imaging, this was indistinguishable from more commonly encountered pituitary pathology. She underwent transsphenoidal decompression, which revealed yellowish purulent material that when cultured grew Staphylococcus epidermidis. Histological examination revealed numerous neutrophils and cyst wall lining with features characteristic of RCC. Postoperatively, she received antibiotics and replacement therapy for hypopituitarism. Three months later, she experienced deterioration in visual fields. Considering persistent disease, she underwent redo surgery which revealed similar findings. Postsurgery, pituitary MRI revealed an empty sella syndrome. Thereafter, follow-up for 1 year was stable with permanent diabetes insipidus and multiple pituitary hormone deficiency on supplementation. Although uncommon, we recommend considering RCC abscess as a differential diagnosis of a pituitary mass lesion, as predicting its presence can be difficult preoperatively. Persistent or recurrent disease is common in these cases, so timely diagnosis and adequate surgical drainage leads to lower morbidity and mortality.

A self-driving automobile is one that can sense its environment and navigate obstacles like traffic and other vehicles on its own with little to no human intervention. Although it has been debated and worked on for a very long time, Tesla was able to produce this cutting-edge technology, which is currently being used in the automotive sector. These cars started to appear in other markets in recent years as both private and public transportation (taxis etc.). In this product development, numerous businesses are involved, including Waymo, UBER, Nissan, and Nvidia. With this kind of vehicle, the efficiency, safety, and ability to reduce human error in all aspects of automobile transportation are all improved, and driving is made as safe as possible. This kind of system can revolutionize transportation for those with disabilities and support independent travel for the blind. In this article, the development of self-driving automobiles is briefly discussed. The deep learning techniques used for self-driving automobiles are thoroughly discussed in this review article. It focuses on current techniques for lane recognition, path planning, and traffic sign detection. Additionally, it covers the experimental findings related to each of the aforementioned techniques.