https://www.selleckchem.com/products/lji308.html This review summarizes the non-invasive ICP detection methods related to the optic nerve and the role of the diagnosis and prognosis of neurological disorders and glaucoma. We discuss the advantages and challenges and predict possible areas of development in the future.Recently, the application of artificial intelligence (AI) in medical imaging (including nuclear medicine imaging) has rapidly developed. Most AI applications in nuclear medicine imaging have focused on the diagnosis, treatment monitoring, and correlation analyses with pathology or specific gene mutation. It can also be used for image generation to shorten the time of image acquisition, reduce the dose of injected tracer, and enhance image quality. This work provides an overview of the application of AI in image generation for single-photon emission computed tomography (SPECT) and positron emission tomography (PET) either without or with anatomical information [CT or magnetic resonance imaging (MRI)]. This review focused on four aspects, including imaging physics, image reconstruction, image postprocessing, and internal dosimetry. AI application in generating attenuation map, estimating scatter events, boosting image quality, and predicting internal dose map is summarized and discussed.Glycogen storage disease type Ia (GSD Ia) is a rare disease caused by a deficiency of hepatic glucose-6-phosphatase (G6Pase). Here, we report a 17-year-old Chinese boy with GSD Ia. Clinical manifestations of the patient included hepatomegaly, growth retardation, doll face, and biochemical abnormalities, including hypoglycaemia, hyperuricaemia, and hyperlipidaemia. The computed tomography (CT) and gadolinium ethoxybenzyl-diethylenetriamine-pentaacetic acid (Gd-EOB-DTPA) magnetic resonance imaging (MRI) revealed multiple masses in the left and right hemiliver. These masses presented as different dynamic enhanced patterns in the Gd-EOB-DTPA MRI. In addition, a large amount of