Latest AI and machine learning research in psychiatry for healthcare professionals.
The comorbidity of schizophrenia (SZ) and substance use disorder (SUD), also known as dual schizophrenia (SZ+), represents a clinical challenge due to its high prevalence and impact on prognosis and quality of life. However, evidence of its differential profile compared to SZ and SUD is very limited. This study aimed to compare clinical and quality of life characteristics to identify distinctive p...
BACKGROUND: Less women participate in Alzheimer Disease (AD) trials compared to their estimated representation in the global dementia population. OBJECTIVES: We aimed to apply five most commonly used eligibility criteria to a real-world memory clinic population to compare male and female eligibility according to these criteria. DESIGN: Observational. SETTING: Memory clinic setting. PARTICIPANTS: C...
While children with suicidal ideation or non-suicidal self-injury (NSSI) are at high risk of suicide, most do not attempt suicide. This study aims to ...
BACKGROUND: Digital phenotyping has emerged as a promising approach to capture real-time behavioral and physiological data in individuals with bipolar...
Traditional von Neumann architecture-based devices are limited by the memory wall, hindering the development of next-generation artificial intelligenc...
Depression is a prevalent mental disorder with severe socio-economic implications, and its early identification and intervention are crucial for mitig...
BACKGROUND: Over the past decade, neuropsychopharmacology has shifted from stagnation to momentum, with first-in-class mechanisms and biomarker-enable...
BACKGROUND: The expansion of telehealth services, particularly during the COVID-19 pandemic, has transformed health care delivery in the United States...
BACKGROUND: Sensory processing differences (SPDs) are common in children with autism, yet their specific contributions to behavioural problems remain ...
Autism Spectrum Disorder (ASD) pathogenesis remains unclear, with mitochondrial dysfunction implicated as a key contributor. Reliable mitochondrial-re...
BACKGROUND: Depression and loneliness are highly prevalent among older adults, yet access to timely and adequate mental health care remains limited in...
BACKGROUND: Late-life depression (LLD) often co-occurs with mild cognitive impairment (MCI), and patients with LLD and MCI (LLD-MCI) have an increased...
BACKGROUND: Depression is one of the most prevalent mental disorders globally, severely affecting individuals' emotional, cognitive, and physical func...
BACKGROUND: Borderline personality disorder (BPD) and bipolar disorder (BD) are debilitating psychiatric illnesses with significant rates of misdiagno...
Background: Intrusive experiences related to witnessing a traumatic event are the core symptom of post-traumatic stress disorder (PTSD), and have been...
Artificial intelligence (AI) has rapidly evolved in recent years. Image generating chatbots enjoy great popularity. But they bear the risk of maintain...
OBJECTIVE: Screening for psychiatric risk in youth at the population level is often constrained by resource limitations and lengthy assessment tools. ...
Bipolar disorder (BD) is a clinically heterogenous mental disorder with a diversity in clinical trajectories and treatment response. Twin studies have...
OBJECTIVES: To explore the in-depth experiences, psychological conflicts, and coping strategies of young breast cancer patients regarding the Implant-...
In the current digital era, emotional and mental health challenges are becoming very common. Therefore, it is essential to find new and effective ways...