en Psychiatry Psychiatry Original Research Original Research <span style="font-size:13pt"><span style="text-justify:kashida"><span style="text-kashida:0%"><span style="text-autospace:none"><span style="font-family:&quot;Times New Roman&quot;,serif"><span style="font-style:italic"><b><span style="font-size:9.0pt"><span style="font-style:normal">Background: </span></span></b><span style="font-size:9.0pt"><span style="font-style:normal">Bipolar disorder is considered a psychiatric disease without any effective screening questionnaire to monitor and manage Iranian patients. This study aims to implement a researcher-made questionnaire in the form of educational interactive software for better management of patients with bipolar disorder and prevent further complications.</span></span></span></span></span></span></span></span><br> <span style="font-size:13pt"><span style="text-justify:kashida"><span style="text-kashida:0%"><span style="text-autospace:none"><span style="font-family:&quot;Times New Roman&quot;,serif"><span style="font-style:italic"><span style="font-size:9.0pt"><span style="font-style:normal">&nbsp;&nbsp; <b>Methods:</b> The present cross-sectional study evaluated the efficacy of psychoeducational-interactive-therapeutic software for patients with bipolar disorder, which is a network-based software providing a researcher-made questionnaire in a planned manner. This software can predict the occurrence of future bipolar episodes for each patient by using artificial intelligence algorithms after the occurrence of two mood episodes as the training phase. The patients with bipolar disorder were asked to use the software for a year and their mood episodes were compared before and after using the software. We evaluate the reliability of the questionnaires in the software with internal consistency using alpha Cronbach test and test-retest analysis. Face validity and content validity were also evaluated .</span></span></span></span></span></span></span></span><br> <span style="font-size:13pt"><span style="text-justify:kashida"><span style="text-kashida:0%"><span style="text-autospace:none"><span style="font-family:&quot;Times New Roman&quot;,serif"><span style="font-style:italic"><span style="font-size:9.0pt"><span style="font-style:normal">&nbsp;&nbsp; <b>Results:</b> The content validity index of the instrument was 93%, and the Cronbach&#39;s alpha coefficient of the whole&nbsp; questionnaire was 0.955. Also, the ICC coefficient for this questionnaire is above 0.70, and the correlation coefficient of the answers in all constructs of the questionnaire is more than 0.8. Thirty male patients with bipolar disorder who experienced four episodes of mood swings per year experienced an average of 2 mood episodes per year following the use of this software.</span></span></span></span></span></span></span></span><br> <span style="font-size:13pt"><span style="text-justify:kashida"><span style="text-kashida:0%"><span style="text-autospace:none"><span style="font-family:&quot;Times New Roman&quot;,serif"><span style="font-style:italic"><b><span style="font-size:9.0pt"><span style="font-style:normal">&nbsp;&nbsp; Conclusion: </span></span></b><span style="font-size:9.0pt"><span style="font-style:normal">Our Psychoeducational-interactive-therapeutic software is the first Persian language software based on artificial intelligence to monitor clinical symptoms in patients with bipolar disorder, which uses a standard questionnaire to predict the incidence of episodes of depression and mania in these patients.</span></span></span></span></span></span></span></span> Bipolar disorder, Interactive software, Educational software, Artificial intelligence 956 960 http://mjiri.iums.ac.ir/browse.php?a_code=A-10-7341-1&slc_lang=en&sid=1 Farzad Akbarzadeh info@example.com 200319475328460073128 200319475328460073128 No Department of Psychiatry, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran Alireza Ebrahimi info@example.com 200319475328460073129 200319475328460073129 No Department of Psychiatry, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran Saeid Akhlaghi info@example.com 200319475328460073130 200319475328460073130 No Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran Zahra Rajai Rajaeiz961@mums.ac.ir 200319475328460073131 200319475328460073131 Yes Department of Psychiatry, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran Afsaneh Rezaei Kalat info@example.com 200319475328460073132 200319475328460073132 No Department of Psychiatry, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran Reza Jafarzadeh Esfehani info@example.com 200319475328460073133 200319475328460073133 No Blood Born Research Center, Academic Center for Education, Culture and Research – Khorasan Branch, Mashhad, Iran Sima Garmehi Sima_garmeh@yahoo.com 200319475328460073134 200319475328460073134 No Department of Psychiatry, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran Zahra Sangsefidy info@example.com 200319475328460073135 200319475328460073135 No Department of Psychiatry, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran