ARTIFICIAL INTELLIGENCE IN MEDICAL DEVICES: PAST, PRESENT AND FUTURE.

Artificial Intelligence (AI) has been drawing attention in the field of medical devices. However, due to system complexity, the variability of their architecture, as well as ethical and regulatory concerns there is an ongoing need to analyze its application and performance.This study presents a narrative commentary on the applications of artificial neural networks (ANN) and machine learning (ML) algorithms in medical devices, past, current and future perspectives of application. One research focus of this study was on identifying problems and issues related to the implementation of AI in medical devices. The commentary is based on scientific articles published in PubMed, Scopus ad ScienceDirect databases, official publications of international organizations: European Comission (EC), Food and Drug Administration (FDA), and World Health Organisation (WHO) published in 2009 - 2020 period. AI is revolutionizing healthcare, from medical applications to clinical engineering. However, before grasp-ing the full potential ethical, legal and social concerns need to be resolved and its application needs to be harmonized and regulated regarding equitable access, privacy, appropriate uses and users, liability and bias and inclusiveness.

A novel flavivirus strain detected in phlebotomine sandflies in Bosnia and Herzegovina.

Aim Phlebotominae sandflies are primary vectors of phleboviruses, causing the sandfly fever disease. The aim of this study was to detect and report the presence of flaviviruses in Phlebotominae sandflies captured in Bosnia and Herzegovina. Methods After a microscopic and morphometric analysis, the final identification of collected Phlebotomus specimens was confirmed by PCR, using a hemi-nested polymerase chain reaction on extracted and reversely transcribed RNA. Results We obtained a 155 nt long fragment of the viral non-structural protein 5 (NS5) gene (GenBank accession no. MN090154). The acquired nucleotide sequence, provisionally named as Dreznica, showed a maximum of 70-80% identity in 70-88% (110-137 nucleotides) of the query coverage with several Anopheles, Sabethes, Calbertado and Culex flaviviruses. Maximum likelihood phylogenetic analysis showed that the new flavivirus Dreznica clusters together with the flavivirus isolated from Culiseta annulata mosquitos. Conclusion We report the presence of flavivirus in Phlebotominae sandflies, captured in Dreznica, Herzegovina for the first time. The next phase of research will be directed towards virus cultivation, obtaining a longer or complete virus sequence and clarifying the medical and epidemiological importance of the Dreznica virus.