Artificial intelligence-assisted psychosis risk screening in adolescents:Practices and challenges

Artificial intelligence-based technologies are gradually being applied to psychiatric research and practice.This paper reviews the primary literature concerning artificial intelligence-assisted psychosis risk screening in adolescents.In terms of the practice of psychosis risk screening,the application of two artificial intelligence-assisted screening methods,chatbot and large-scale social media data analysis,is summarized in detail.Regarding the challenges of psychiatric risk screening,ethical issues constitute the first challenge of psychiatric risk screening through artificial intelligence,which must comply with the four biomedical ethical principles of respect for autonomy,nonmaleficence,beneficence and impartiality such that the development of artificial intelligence can meet the moral and ethical requirements of human beings.By reviewing the pertinent literature concerning current artificial intelligence-assisted adolescent psychosis risk screens,we propose that assuming they meet ethical requirements,there are three directions worth considering in the future development of artificial intelligenceassisted psychosis risk screening in adolescents as follows:nonperceptual realtime artificial intelligence-assisted screening,further reducing the cost of artificial intelligence-assisted screening,and improving the ease of use of artificial intelligence-assisted screening techniques and tools.

Superprotonic Conductivity of Guanidinium Organosulfonate Hydrogen-Bonded Organic Frameworks with Nanotube-Shaped Proton Transport Channels

Grasping proton transport pathways and mecha-nisms is vital for the application of fuel cell technology.Herein,we screened four guanidinium organosulfonate charge-assisted hydro-gen-bonded organic frameworks(HOFs),namely,GBBS,G3TSPHB,G4TSP,and G6HSPB,which possess high hydrogen-bonded density proton transport networks shaped like nanotubes.These materials were prepared by self-assembly through charge-assisted interactions between guanidinium cations and organo-sulfonate anions,as well as by host-guest regulation.At 80℃ and 93%RH,the proton conductivity of GBBS,G3TSPHB,G4TSP,and G6HSPB can reach 4.56×10^(-2),2.55×10^(-2),4.01×10^(-2),and 10^(-1) cm^(-1),Doping G6HSPB into the Nafion matrix prepared composite membranes for testing the performance of fuel cells.At 80°C and 98%RH,the proton conductivity of 9%-G6HSPB@Nafion reached a maximum value of 1.14×10^(-1) S cm^(-1),which is 2.8 times higher than recast Nafion.The results showed that charge-assisted HOFs with high proton channel density have better proton transport properties,providing a reference for the design of highly proton-conducting materials.