The in-depth research of artificial intelligence in the medical field has greatly improved the workflow and diagnostic ability of diagnostic radiology.This article focuses on artificial intelligence technology in the field of interventional medicine,and enumerates its potential application scenarios,including improving image analysis capabilities to assist diagnosis and predict treatment response.It also describes the challenges that need to be overcome for practical application.Finally,with the continuous development of artificial intelligence in interventional medicine,artificial intelligence will further optimize the channels of interventional medicine and bring revolutionary changes to the clinical practice of interventional medicine.

End-stage liver diseases,such as cirrhosis and liver cancer caused by hepatitis B,are often combined with hepatic encephalopathy(HE);ammonia poisoning is posited as one of its main pathogenesis mechanisms.Ammonia is closely related to autophagy,but the molecular mechanism of ammonia's regulatory effect on autophagy in HE remains unclear.Sialylation is an essential form of glycosylation.In the nervous system,abnormal sialylation affects various physiological processes,such as neural development and synapse formation.ST3 β-galactoside α2,3-sialyltransferase 6(ST3GAL6)is one of the significant glycosyltransferases responsible for adding α2,3-linked sialic acid to substrates and generating glycan structures.We found that the expression of ST3GAL6 was upregulated in the brains of mice with HE and in astrocytes after ammonia induction,and the expression levels of α2,3-sialylated glycans and autophagy-related proteins microtubule-associated protein light chain 3(LC3)and Beclin-1 were upregulated in ammonia-induced astrocytes.These findings suggest that ST3GAL6 is related to autophagy in HE.Therefore,we aimed to determine the regulatory relationship between ST3GAL6 and autophagy.We found that silencing ST3GAL6 and blocking or degrading α2,3-sialylated glycans by way of Maackia amurensis lectin-Ⅱ(MAL-Ⅱ)and neuraminidase can inhibit autophagy.In addition,silencing the expression of ST3GAL6 can downregulate the expression of heat shock protein β8(HSPB8)and Bcl2-associated athanogene 3(BAG3).Notably,the overexpression of HSPB8 partially restored the reduced autophagy levels caused by silencing ST3GAL6 expression.Our results indicate that ST3GAL6 regulates autophagy through the HSPB8-BAG3 complex.

BACKGROUND: In the ischemic cerebral area there are viable tissues of low blood perfusion. Theses tissues can be rescued as long as blood supply is restored timely. As an imaging agent,99Tcm-HL91 can be used to demonstrate the viable cerebral tissues in hypoxic and ischemic area.OBJECTIVE: To investigate the value of 99Tcm-HL91 imaging in assessing ischemic stroke,in order to provide evidences for early intervention.DESIGN: An observational and controlled trial based on patients and healthy voluinteers.SETTING: A nuclear medicine department in a university and a neurological department and a nuclear medicine department in a provincial hospital.PARTICIPANTS: From March 2000 to September 2001,eighteen inpatients and outpatients suffering from ischemic cerebral diseases and 4 volunteers were enrolled in the study.METHODS: In the 18 patients,11 were clinically diagnosed as cerebral infarction,5 TIA,2 vertebrobasilar insufficiency. All the subjects underwent 99Tcm-HL91 cerebral hypoxia tomographic imaging. The labeled 99Tcm-HL91(555-1 110 MBq) was intravenously injected into the human body and imaging was conducted after 20 -30 minutes,17 patients underwent CT or MRI examination at the same time. Eleven patients underwent 99Tcm-ECD tomopraphic imaging on the next day. The results of the 3 examinations were compared with each other. The uptake in the inside and around-infarct areas was determined by direct visual observation on the images. Positive change was given by presence of increased uptake and negative by absence. The uptake change that could not be clearly defined as positive or negative was considered critical level. But the uptake on both hemispheres was compared with ROI technology. The change over 25% between hemispheres was set as positive and the other was negative. So there was no critical group in this study.MAIN OUTCOME MEASURES: The results of cerebral hypoxia imaging,CT,MRI and cerebral perfusion imaging.RESULTS: Among the 18 patients,5 were positive for hypoxia imaging(4infarction and 1 vertebrobasilar insufficiency). In the 99Tcm-ECD perfusion,6out of 11 patients manifested of regional decreased blood perfusion. Nine patients manifested of abnormal CT or MRI results. No abnormalities were detected in the 4 volunteers.CONCLUSION: Although 99Tcm-HL91 imaging for diagnosis of cerebral ischemic disease is affected by many factors,it can identify whether the ischemic tissue is hypoxic or necrotic when the perfusion imaging demonstrate low flow. So it helps in guiding rehabilitation intervention and foretelling prognosis.