A Systematic Review of the Outcomes of Utilization of Artificial Intelligence Within the Healthcare Systems of the Middle East: A Thematic Analysis of Findings.

Background And Aims: The rapid expansion of artificial intelligence (AI) within worldwide healthcare systems is occurring at a significant rate. In this context, the Middle East has demonstrated distinctive characteristics in the application of AI within the healthcare sector, particularly shaped by regional policies. This study examined the outcomes resulting from the utilization of AI within healthcare systems in the Middle East.

A Facile Strategy for Preparing Flexible and Porous Hydrogel-Based Scaffolds from Silk Sericin/Wool Keratin by In Situ Bubble-Forming for Muscle Tissue Engineering Applications.

In the present study, it is aimed to fabricate a novel silk sericin (SS)/wool keratin (WK) hydrogel-based scaffolds using an in situ bubble-forming strategy containing an N-(3-dimethylaminopropyl)-N'-ethylcarbodiimide hydrochloride (EDC) and N-hydroxysuccinimide (NHS) coupling reaction. During the rapid gelation process, CO bubbles are released by activating the carboxyl groups in sericin with EDC and NHS, entrapped within the gel, creating a porous cross-linked structure. With this approach, five different hydrogels (S2K1, S4K2, S2K4, S6K3, and S3K6) are constructed to investigate the impact of varying sericin and keratin ratios.

Impact of COVID-19 on emergency service usage in Turkey: interrupted time series analysis.

The aim of this study is to reveal the impact of the COVID-19 pandemic, which constitutes an extraordinary situation, on the habits of emergency health service use. The data of the study consist of emergency service applications of a public hospital in Turkey between the years 2018-2021. The number of applications to the emergency service was examined periodically.