![]() The search was conducted from June to September 2021. Methods: We conducted a narrative review of the use of digital tools during clinical interviews for MDE by searching papers published in PubMed/MEDLINE, Web of Science, and Google Scholar databases since February 2010. ![]() ![]() In addition, our work was focused on digital devices easy to use during clinical interview and mental health issues where depression is common. Objective: We aimed to review the current application of digital tools for MDE diagnosis while highlighting shortcomings for further research. To remedy this, the use of digital tools and their correlation with clinical symptomatology could be useful. Nevertheless, it does not allow an early diagnosis and there are no objective measures of extracted clinical information. Clinical interviews are currently the best source of information to obtain the etiological diagnosis of MDE. However, only 1 syndrome is described in international classifications (Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition /International Classification of Diseases 11th Revision ), which do not take into account the underlying pathology at the origin of the MDE. It can be found in different pathologies such as major depressive disorder (MDD), bipolar disorder (BD), posttraumatic stress disorder (PTSD), or even occur in the context of psychological trauma. See correction statement in: Abstractīackground: Major depressive episode (MDE) is a common clinical syndrome. Related ArticleThis is a corrected version. Online Journal of Public Health Informatics.Asian/Pacific Island Nursing Journal 13 articles.JMIR Bioinformatics and Biotechnology 38 articles.JMIR Biomedical Engineering 70 articles.Journal of Participatory Medicine 82 articles.JMIR Perioperative Medicine 94 articles.JMIR Rehabilitation and Assistive Technologies 220 articles. ![]() JMIR Pediatrics and Parenting 299 articles.Interactive Journal of Medical Research 337 articles.JMIR Public Health and Surveillance 1234 articles.Journal of Medical Internet Research 7910 articles. ![]()
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