In the contemporary landscape of social media, an alarming number users express negative emotions, some which manifest as strong suicidal intentions. This situation underscores a profound need for trained psychological counselors who can enact effective mental interventions. However, development these professionals is often imperative but time-consuming task. Consequently, mobilization non-professionals or volunteers in this capacity emerges pressing concern. Leveraging capabilities...

Abstract In the realm of social media, users frequently convey personal sentiments, with some potentially indicating cognitive distortions or suicidal tendencies. Timely recognition such signs is pivotal for effective interventions. response, we introduce two novel annotated datasets from Chinese focused on and risk classification. We propose a comprehensive benchmark using both supervised learning large language models, especially GPT series, to evaluate performance these datasets. To...

Mental health is a critical global public issue, and psychological support hotlines play pivotal role in providing mental assistance identifying suicide risks at an early stage. However, the emotional expressions conveyed during these calls remain underexplored current research. This study introduces method that combines pitch acoustic features with deep learning-based to analyze understand emotions expressed hotline interactions. Using data from China's largest hotline, our achieved...

Cushing's syndrome is a condition caused by excessive glucocorticoid secretion from the adrenal cortex, often manifesting with moon facies and plethora, making facial data crucial for diagnosis. Previous studies have used pre-trained convolutional neural networks (CNNs) diagnosing using frontal images. However, CNNs are better at capturing local features, while presents global features. Transformer-based models like ViT SWIN, which utilize self-attention mechanisms, can capture long-range...

<sec> <title>BACKGROUND</title> In the contemporary landscape of social media, a large number users express negative emotions, including strong suicidal intentions. The situation underscores critical need for trained psychological counselors to enact effective mental interventions. However, training such professionals is often time-consuming, leading pressing mobilizing non-professionals or volunteers. </sec> <title>OBJECTIVE</title> This paper aims introduce novel model built on foundation...

The complexity of psychological principles underscore a significant societal challenge, given the vast social implications problems. Bridging gap between understanding these and their actual clinical real-world applications demands rigorous exploration adept implementation. In recent times, swift advancement highly adaptive reusable artificial intelligence (AI) models has emerged as promising way to unlock unprecedented capabilities in realm psychology. This paper emphasizes importance...

Background Web-based social media provides common people with a platform to express their emotions conveniently and anonymously. There have been nearly 2 million messages in particular Chinese data source, several thousands more are generated each day. Therefore, it has become impossible analyze these manually. However, identified as an important source for the prevention of suicide related depression disorder. Objective We proposed this paper distant supervision approach developing system...

Breast cancer diagnosis challenges both patients and clinicians, with early detection being crucial for effective treatment. Ultrasound imaging plays a key role in this, but its utility is hampered by the need precise lesion segmentation-a task that time-consuming labor-intensive. To address these challenges, we propose new framework: morphology-enhanced, Class Activation Map (CAM)-guided model, which optimized using computer vision foundation model known as SAM. This innovative framework...

Micro-grid can absorb the distributed power effectively, reduce loss, and improve supply reliability. In order to assess micro-grid reliability quantitatively, random natures of output are analyzed firstly in this paper. Wind photovoltaic Markov model set up. And smoothing energy storage is considered. Then corresponding evaluation process was given. lastly, paper realizes running states analysis assessment based on analytic method. addition, new indexes for proposed Finally, example proves...

In the realm of social media, users frequently convey personal sentiments, with some potentially indicating cognitive distortions or suicidal tendencies. Timely recognition such signs is pivotal for effective interventions. response, we introduce two novel annotated datasets from Chinese focused on and risk classification. We propose a comprehensive benchmark using both supervised learning large language models, especially GPT series, to evaluate performance these datasets. To assess...

Brain CT is the first choice for diagnosing intracranial diseases. However, doctors who can accurate diagnosis insufficient with increasing number of patients. Nowadays, many computer-aided algorithms were developed to help diagnose and reduce time. most research classifies each slice isolated, regard this as an image-level classification problem. It not comprehensive enough because conditions only be diagnosed by considering adjacent slices relationships between In order better fit...

Medical image analysis frequently encounters data scarcity challenges. Transfer learning has been effective in addressing this issue while conserving computational resources. The recent advent of foundational models like the DINOv2, which uses vision transformer architecture, opened new opportunities field and gathered significant interest. However, DINOv2's performance on clinical still needs to be verified. In paper, we performed a glioma grading task using three modalities brain MRI data....

Cognitive Behavioral Therapy (CBT) is an effective technique for addressing the irrational thoughts stemming from mental illnesses, but it necessitates precise identification of cognitive pathways to be successfully implemented in patient care. In current society, individuals frequently express negative emotions on social media specific topics, often exhibiting distortions, including suicidal behaviors extreme cases. Yet, there a notable absence methodologies analyzing that could aid...

Suicide and suicidal behaviors remain significant challenges for public policy healthcare. In response, psychological support hotlines have been established worldwide to provide immediate help individuals in mental crises. The effectiveness of these largely depends on accurately identifying callers' emotional states, particularly underlying negative emotions indicative increased suicide risk. However, the high demand interventions often results a shortage professional operators, highlighting...

Acute intracerebral hemorrhage is a life-threatening condition that demands immediate medical intervention. Intraparenchymal (IPH) and intraventricular (IVH) are critical subtypes of this condition. Clinically, when such hemorrhages suspected, CT scanning essential to assess the extent bleeding facilitate formulation targeted treatment plan. While current research in deep learning has largely focused on qualitative analyses, as identifying cerebral hemorrhages, there remains significant gap...

Abstract Large language models, particularly those akin to the rapidly progressing GPT series, are gaining traction for their expansive influence. While there is keen interest in applicability within medical domains such as psychology, tangible explorations on real-world data remain scant. Concurrently, users social media platforms increasingly vocalizing personal sentiments; under specific thematic umbrellas, these sentiments often manifest negative emotions, sometimes escalating suicidal...

Psychological support hotlines are an effective suicide prevention measure that typically relies on professionals using risk assessment scales to predict individual scores. However, the accuracy of scale-based predictive methods for can vary widely depending expertise operator. This limitation underscores need more reliable methods, prompting this research's innovative exploration use artificial intelligence improve and efficiency prediction within context psychological hotlines. The study...

Suicide is a pressing global issue, demanding urgent and effective preventive interventions. Among the various strategies in place, psychological support hotlines had proved as potent intervention method. Approximately two million people China attempt suicide annually, with many individuals making multiple attempts. Prompt identification for high-risk are crucial to preventing tragedies. With rapid advancement of artificial intelligence (AI), especially development large-scale language...