Background and Aim: Coronavirus disease 2019 (COVID-19) pandemic has caused a great deal of conflict and tension between couples and their families. Meanwhile, less attention has been paid to potential tensions and conflicts in families exposed to high stress, such as military families. Therefore, this study was conducted to investigate the effect of cognitive-behavioral therapy on changing the conflict resolution styles in military personnel and their spouses during the COVID-19 pandemic.
Methods: In this quasi-experimental study, 66 military personnel and their spouses were included. They were then assigned to the case (n = 32) and the control (n = 34) groups using block randomization method. Data were collected by using a demographic information form and Rahim Organizational Conflict Inventory-II. The later
form was completed before, immediately after, and one month after the intervention. Cognitive-behavioral therapy was presented to the case group during 9 sessions. Each session lasted 90 minutes. The Control group underwent no intervention. Independent t-test, Chi-square, and Fisher's exact test were used to analyze the data by SPPSS
software (version 22).
Results: The results showed that the use of non-constructive conflict resolution style was significantly reduced in the case group compared to the control group (P<0.001) after the implementation of cognitive-behavioral therapy. In addition, it was found that the use of constructive conflict resolution style increased significantly in
the case group compared to the control group (P<0.001).
Conclusion: Our findings suggested that cognitive-behavioral therapy reduced the use of non-constructive conflict resolution style but increased the use of constructive conflict resolution style among military personnel and their spouses.

Background and Aims
The prospect of using artificial intelligence (AI) in healthcare is bright and promising, and its use can have a significant impact on cost reduction and decrease the possibility of error and negligence among healthcare workers. This study aims to investigate the level of knowledge, attitude, and acceptance among Iranian physicians and nurses.

Methods
This cross-sectional descriptive-analytical study was conducted in eight public university hospitals located in Tehran on 400 physicians and nurses. To conduct the study, convenient sampling was used with the help of researcher-made questionnaires. Statistical analysis was done by SPSS 21 The mean and standard deviation and Chi-square and Fisher's exact tests were used.

Results
In this study, the level of knowledge among the research subjects was average (14.66 ± 4.53), the level of their attitude toward AI was relatively favorable (47.81 ± 6.74), and their level of acceptance of AI was average (103.19 ± 13.70). Moreover, from the participant's perspective, AI in medicine is most widely used in increasing the accuracy of diagnostic tests (86.5%), identifying drug interactions (82.75%), and helping to analyze medical tests and imaging (80%). There was a statistically significant relationship between the variable of acceptance of AI and the participant's level of education (p = 0.028), participation in an AI training course (p = 0.022), and the hospital department where they worked (p < 0.001).

Conclusion
In this study, both the knowledge and the acceptance of the participants towards AI were proved to be at an average level and the attitude towards AI was relatively favorable, which is in contrast with the very rapid and inevitable expansion of AI. Although our participants were aware of the growing use of AI in medicine, they had a cautious attitude toward this.