RESUMEN
With the development of digital technology， an increasing number of artificial intelligence （AI） technologies are being applied in the field of public health， significantly improving the efficiency of healthcare systems. However， such technological advancement also introduces a series of ethical risks. In this article， we conducted a systematic review by searching nine domestic and international databases and analyzing the ethical issues related to AI in public health， ultimately including 158 articles. Based on the analysis of the included literature， ethical risks were categorized into four aspects： data， algorithms， rights and responsibilities， and social impact. A total of 15 key issues were identified， among which privacy and confidentiality， informed consent， data security， and fairness， justice and inclusion emerged as the most prominent issues. The ethical challenges posed by AI in the field of public health cannot be ignored， and it is necessary to formulate ethical guidelines and practical recommendations for AI in this field， establish sound regulatory and review mechanisms， thereby ensuring the healthy development of AI research in public health.
RESUMEN
Objective:To study the clinical and genetic features of neonatal Smith-Kingsmore syndrome (SKS).Methods:The clinical data of a newborn with SKS admitted to our hospital in November 2021 were reviewed. Using "Smith-Kingsmore", "rapamycin gene", "newborn", "premature infant", "the mammalian target of rapamycin", "MTOR", "mTOR", "Smith-Kingsmore syndrome", "megalencephaly", "macrocephaly" and "hemimegalencephaly" as keywords, databases including CNKI, Wanfang Database, VIP database, PubMed, Embase, Web of Science and the Cochrane Library were searched from the date of establishment to January 1, 2022. The clinical and genetic features of neonatal SKS from published literature were summarized.Results:The case admitted to our hospital was a male preterm infant. The presenting symptoms were groan and hypotonia. The facial abnormalities included macrocrania, ocular hypertelorism, depressed nasal bridge and low-set ears. Brain MRI showed lateral ventricle enlargement. Whole-genome sequencing (WGS) showed mTOR gene nonsense heterozygous mutation (NM_004958.4:c.7255G>A:p.Glu2419Lys). Neither father nor mother had any pathogenic gene mutations. The infant had seizure at 2-month and phenobarbital was effective reducing seizure. Gross motor delay was present at 3-month. Sixteen related articles were retrieved, including eight articles with 10 neonatal cases. Among them, 6 cases were male. The main clinical features were megalencephaly or hemimegalencephaly (9/10), facial developmental malformation (8/10), hypotonia (6/10), large-for-gestational age (LGA) infants (5/10), cerebral ventricle dilation (4/10) and abnormal corpus callosum (4/10). All the gene mutations were missense mutations, including c.5395G>A(p.Glu1799Lys) mutation in 5 cases, c.4448G>T(p.Cys1483Phe) mutation in 1 case, c.4448G>T(p.Cys1483Tyr) mutation in 1 case, c.7235A>T(p.Asp2412Val) mutation in 1 case, c.5663T>G(p.Phe1888Cys) mutation in 1 case, c.5390C>T(p.Thr1799IIe) mutation in 1 case.Conclusions:The clinical phenotypes of neonatal SKS are diverse, including megalencephaly, facial malformation, LGA and hypotonia. The brain MR findings included (hemi) megalencephaly, cerebral ventricle dilation and corpus callosum hypoplasia. Most of the gene mutations are missense mutations and c.5395G>A(p.Glu1799Lys) is the hotspot.