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Algorithmic Classification of Psychiatric Disorder–Related Spontaneous Communication Using Large Language Model Embeddings: Algorithm Development and Validation

Algorithmic Classification of Psychiatric Disorder–Related Spontaneous Communication Using Large Language Model Embeddings: Algorithm Development and Validation

For instance, individuals with schizophrenia often exhibit disturbances in their speech patterns, characterized by disorganized syntax and impaired semantic coherence [3]. Similarly, individuals with borderline personality disorder (BPD) have higher levels of overall expressive language impairment, as well as decreased syntactic and lexical complexity [4]. Furthermore, quantitative analysis of language usage can aid in tracking disease progression and treatment response.

Ryan Allen Shewcraft, John Schwarz, Mariann Micsinai Balan

JMIR AI 2025;4:e67369

Analyzing Trends in Suicidal Thoughts Among Patients With Psychosis in India: Exploratory Secondary Analysis of Smartphone Ecological Momentary Assessment Data

Analyzing Trends in Suicidal Thoughts Among Patients With Psychosis in India: Exploratory Secondary Analysis of Smartphone Ecological Momentary Assessment Data

Suicide is a common cause of premature mortality among people living with schizophrenia [3,4] and a recent systematic review has reported a point prevalence of nearly 30% of SIs in people with schizophrenia [5]. Most of the empirical research on the risks of suicidality includes cross-sectional or retrospective studies that distinguish the characteristics between people who experience SIs or suicidal behavior, and those who do not [6-8].

Ameya P Bondre, Aashish Ranjan, Ritu Shrivastava, Deepak Tugnawat, Nirmal Kumar Chaturvedi, Anant Bhan, Snehil Gupta, Abhijit R Rozatkar, Srilakshmi Nagendra, Siddharth Dutt, Soumya Choudhary, Preethi V Reddy, Urvakhsh Meherwan Mehta, John A Naslund, John Torous

JMIR Form Res 2025;9:e67745

Integrating Virtual Reality, Neurofeedback, and Cognitive Behavioral Therapy for Auditory Verbal Hallucinations (Hybrid): Protocol of a Pilot, Unblinded, Single-Arm Interventional Study

Integrating Virtual Reality, Neurofeedback, and Cognitive Behavioral Therapy for Auditory Verbal Hallucinations (Hybrid): Protocol of a Pilot, Unblinded, Single-Arm Interventional Study

Psychosis is the distinguishing feature of schizophrenia spectrum disorders and a frequent manifestation of mood and substance use disorders [1]. It is characterized by alterations in thoughts and perceptions, often taking the form of positive symptoms such as delusions, hallucinations [2], and disorganized thinking [3], as well as negative symptoms such as blunted affect, poverty of speech, and withdrawal from social and occupational activities [4].

Jessica Spark, Elise Rowe, Mario Alvarez-Jimenez, Imogen Bell, Linda Byrne, Ilvana Dzafic, Carli Ellinghaus, Suzie Lavoie, Jarrad Lum, Brooke McLean, Neil Thomas, Andrew Thompson, Greg Wadley, Thomas Whitford, Stephen Wood, Hok Pan Yuen, Barnaby Nelson

JMIR Res Protoc 2025;14:e63405

Prompt Engineering an Informational Chatbot for Education on Mental Health Using a Multiagent Approach for Enhanced Compliance With Prompt Instructions: Algorithm Development and Validation

Prompt Engineering an Informational Chatbot for Education on Mental Health Using a Multiagent Approach for Enhanced Compliance With Prompt Instructions: Algorithm Development and Validation

To showcase the proposed methodology, we developed a GPT-4–powered schizophrenia informational chatbot, hereafter referred to as CAFIbot, which conveys the content of the Learning to Live With Schizophrenia manual. This manual was produced by the Global Alliance of Mental Illness Advocacy Network Europe patient advocacy group [11], who we are collaborating with in an ongoing clinical project (called TRUSTING) involving patients with mental health problems [12].

Per Niklas Waaler, Musarrat Hussain, Igor Molchanov, Lars Ailo Bongo, Brita Elvevåg

JMIR AI 2025;4:e69820

Telehealth-Based vs In-Person Aerobic Exercise in Individuals With Schizophrenia: Comparative Analysis of Feasibility, Safety, and Efficacy

Telehealth-Based vs In-Person Aerobic Exercise in Individuals With Schizophrenia: Comparative Analysis of Feasibility, Safety, and Efficacy

Sedentary lifestyle and low aerobic fitness are highly ubiquitous among individuals with schizophrenia [1,2] and are associated with a wide range of medical and psychiatric health indicators including cardiopulmonary and metabolic problems [3-5], high symptom burden, and depression [6], as well as poor neurocognition and daily functioning [1].

David Kimhy, Luz H Ospina, Melanie Wall, Daniel M Alschuler, Lars F Jarskog, Jacob S Ballon, Joseph McEvoy, Matthew N Bartels, Richard um Buchsba, Marianne Goodman, Sloane A Miller, T Scott Stroup

JMIR Ment Health 2025;12:e68251

Utility of Digital Phenotyping Based on Wrist Wearables and Smartphones in Psychosis: Observational Study

Utility of Digital Phenotyping Based on Wrist Wearables and Smartphones in Psychosis: Observational Study

Movement data estimated from a 3-axis accelerometer were negatively correlated with negative symptoms assessed with the Positive and Negative Syndrome Scale (PANSS) in patients with schizophrenia [17]. The number of steps was negatively correlated with PANSS positive-factor, negative-factor, general subscales, and total score, in patients with schizophrenia in an inpatient setting [18].

Zixu Yang, Creighton Heaukulani, Amelia Sim, Thisum Buddhika, Nur Amirah Abdul Rashid, Xuancong Wang, Shushan Zheng, Yue Feng Quek, Sutapa Basu, Kok Wei Lee, Charmaine Tang, Swapna Verma, Robert J T Morris, Jimmy Lee

JMIR Mhealth Uhealth 2025;13:e56185

Estimating the Prevalence of Schizophrenia in the General Population of Japan Using an Artificial Neural Network–Based Schizophrenia Classifier: Web-Based Cross-Sectional Survey

Estimating the Prevalence of Schizophrenia in the General Population of Japan Using an Artificial Neural Network–Based Schizophrenia Classifier: Web-Based Cross-Sectional Survey

The estimated lifetime prevalence of schizophrenia is 0.59%, according to a secondary analysis of the 2019 cross-sectional Japan National Health and Wellness Survey [6]. However, this study may produce underestimation since it only depended on physician diagnoses. Individuals with schizophrenia hardly self-identify as having schizophrenia because of stigma and lack of awareness of schizophrenia and its symptoms [7-13].

Pichsinee Choomung, Yupeng He, Masaaki Matsunaga, Kenji Sakuma, Taro Kishi, Yuanying Li, Shinichi Tanihara, Nakao Iwata, Atsuhiko Ota

JMIR Form Res 2025;9:e66330