Schizophrenia and Psychotic Disorders: Clinical Updates
A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Mental Health".
Deadline for manuscript submissions: 20 April 2026 | Viewed by 68
Special Issue Editors
2. Neurosciences Department, Psychiatry Discipline, Faculty of Medicine, "Carol Davila" University of Medicine and Pharmacy, Bucharest, Romania
Interests: schizophrenia; depression; anxiety; psychotic disorders; personality disorders
2. Neurosciences Department, Psychiatry Discipline, Faculty of Medicine, “Carol Davila” University of Medicine and Pharmacy, Bucharest, Romania
Interests: psychiatry; depression; psychosis; eating disorders; schizophrenia; electroconvulsive therapy
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Schizophrenia spectrum disorders (SSD) remain some of the most disabling mental illnesses worldwide, with a high impact on patients’ quality of life, overall functionality, and life expectancy, due not only to the intrinsic evolution of such mental illnesses but also to their associated risk of severe somatic and psychiatric comorbidities and complications. In addition, stigma related to the diagnosis of psychotic disorders negatively interferes with patients’ access to adequate care and hinders treatment and funding of research in this field. In this context, continuous exploration of clinical updates is essential to improve the accuracy of diagnosis, the efficacy of treatment, and the recovery outcomes. The objective of this topic is to collect high-quality research (clinical and epidemiological studies, reviews, and meta-analyses) that could help in the elaboration of new diagnosis methods (including digital technologies) and therapeutic options (such as new-wave antipsychotics).
Dr. Octavian Vasiliu
Prof. Dr. Adela Magdalena Ciobanu
Guest Editors
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Keywords
- schizophrenia spectrum disorder
- mobile health apps
- antipsychotics
- repetitive transcranial magnetic stimulation
- artificial intelligence
- machine learning
- augmented reality
- neuroimaging
- treatment resistance
- quality of life
- comorbidities
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