Understanding Delusional Disorder: Causes, Symptoms, Types, and Advanced Treatment Approaches

Delusional Disorder (DD) is a complex psychiatric condition marked by persistent false beliefs that significantly impair an individual's functioning. This review explores the causes, symptoms, types, and treatment approaches for DD, emphasizing the integration of artificial intelligence (AI) in diagnosis and therapy. The article discusses traditional treatments, including antipsychotic medication and Cognitive Behavioral Therapy (CBT), alongside innovative therapies such as Transcranial Magnetic Stimulation (TMS) and scalar wave vibration energy. AI's role in enhancing diagnosis through data analysis and pattern recognition is highlighted, with a focus on its ability to personalize treatment plans and predict patient responses. The combination of AI-driven insights and human expertise holds promise for more effective, individualized care, offering a holistic approach to managing DD. By augmenting traditional methods with cutting-edge technology, the potential for improving patient outcomes and quality of life is significantly enhanced. This article underscores the transformative impact of AI in psychiatric treatment, offering a new path forward for DD management.

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Publication Details

Journal
Medical & Clinical Research
Published
2025-05-24
DOI
https://doi.org/10.33140/mcr.10.05.02
Primary Topic
Psychotherapy Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Understanding Delusional Disorder: Causes, Symptoms, Types, and Advanced Treatment Approaches

Bahman Zohuri
Medical & Clinical Research
Psychotherapy Techniques and Applications
article

Understanding Delusional Disorder: Causes, Symptoms, Types, and Advanced Treatment Approaches

Bahman Zohuri
article en

Abstract

Delusional Disorder (DD) is a complex psychiatric condition marked by persistent false beliefs that significantly impair an individual's functioning. This review explores the causes, symptoms, types, and treatment approaches for DD, emphasizing the integration of artificial intelligence (AI) in diagnosis and therapy. The article discusses traditional treatments, including antipsychotic medication and Cognitive Behavioral Therapy (CBT), alongside innovative therapies such as Transcranial Magnetic Stimulation (TMS) and scalar wave vibration energy. AI's role in enhancing diagnosis through data analysis and pattern recognition is highlighted, with a focus on its ability to personalize treatment plans and predict patient responses. The combination of AI-driven insights and human expertise holds promise for more effective, individualized care, offering a holistic approach to managing DD. By augmenting traditional methods with cutting-edge technology, the potential for improving patient outcomes and quality of life is significantly enhanced. This article underscores the transformative impact of AI in psychiatric treatment, offering a new path forward for DD management.

Medical & Clinical ResearchVol. 10(05)
Openalex Percentile: Top 81%
Psychotherapy Techniques and Applications
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Understanding Delusional Disorder: Causes, Symptoms, Types, and Advanced Treatment Approaches — Bahman Zohuri · Medical & Clinical Research (2025) | TGRS Research Map | TGRS