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Journal Articles:
- Addiction in the Digital Age: Emerging Challenges in Neuropsychiatry (1)
- Cognitive Enhancement in Psychiatric Disorders (1)
- Artificial Intelligence and Machine Learning in Neuropsychiatric Disease Diagnosis, Prognosis, and Treatment (1)
- Environmental Factors in Neuropsychiatric Pathophysiology and the Role of Alternative Therapeutic Approaches (1)
- Neuromodulation in Neuropsychiatric Disorders (1)
- Closing the Mortality Gap: Novel Approaches to Improve Physical Health and Quality of Life among People with Mental Illness (3)
- The effectiveness of non-pharmacological interventions for people with cognitive dysfunction (2)
- Advanced Neurorestoratology: Basic and Clinical Research (2)
- Autism, the disorder without borders and geopolitical variations (12)
- All about Psychogenic Non-Epileptic Seizures (PNES) and Functional Neurological Disorders (FND) (1)
- Cognitive dysfunction in bipolar disorder: Bio-psycho-social perspective (2)
- Current Insights into the Epidemiology, Risk Factors, Treatment and Management Options of Seizures and Epilepsy After Stroke (1)
- Epileptic disorders: advances in the diagnostic and therapeutic strategies (3)
- Beneath the surface: genetic factors in schizophrenia (3)
- Stroke and neurorestoratology (1)
- Suicide Prevention and Intervention: Recent Evidence and Future Directions (4)
- Family and Peer Facilitated/Led Interventions for Severe Mental Health Problems (2)
- Therapeutic Response to Psychedelic Therapy – Who, What, Why & How? (3)
- Current Perspectives of Chronic Stress: from Neurobiology to Treatment (3)
- Issues and Solutions in Autism Spectrum Disorders (ASD) (9)
- Cariprazine in schizophrenia (5)
- The Caregiver Perspective on Pediatric ADHD (3)
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Artificial Intelligence and Machine Learning in Neuropsychiatric Disease Diagnosis, Prognosis, and Treatment
Artificial intelligence (AI), machine learning (ML), and data mining (DM) have become pivotal tools in revolutionizing the diagnosis, treatment, and management of neuropsychiatric diseases. These technologies, capable of handling vast amounts of complex data, offer innovative solutions to traditional clinical approaches. The intersection of AI, ML, and neuropsychiatry is expanding rapidly, bringing about groundbreaking advancements in understanding conditions such as Autism Spectrum Disorder, Attention Deficit Hyperactivity Disorder, Anxiety and Depressive Disorders, Schizophrenia, and other cognitive disorders. This Article Collection explores how AI, ML, and DM are being applied to neuropsychiatric diseases, highlighting recent research and methodologies.

Machine Learning Models for Predicting Antipsychotic Effectiveness and Separate Cost-Effectiveness Analysis in Hospitalized Schizophrenia Patients
Zhang J, Xu Q, Jiang W, Sun D, Peng L
Neuropsychiatric Disease and Treatment 2026, 22:582314
Published Date: 10 March 2026
