AI Medical Compendium

Where is the 'Anxious' in climate anxiety? Evidence from Chinese social media big data.

Journal of anxiety disorders Jan 30, 2026

Climate anxiety has emerged as a significant global psychological and social response to climate change, potentially shaping public engagement and support for climate-related technologies and policies. Here we develop a framework for analyzing online... read more

TMN: Learning multi-timescale functional connectivity for identifying brain disorders.

Psychiatry research. Neuroimaging Jan 30, 2026

BACKGROUND: Functional connectivity (FC) has been used to identify brain disorders. The present study aimed to identify brain disorders by FC across multiple timescales. METHODS: We first segmented the resting-state fMRI signals to construct multiple... read more

Descriptive content analysis assessment of ChatGPT responses to substance use disorder treatment questions compared to National health guidelines.

Drug and alcohol dependence Jan 30, 2026

BACKGROUND: Artificial intelligence (AI)-powered large language models like ChatGPT are increasingly used by the public to access health information. These platforms may be particularly appealing for high-risk conditions such as substance use disorde... read more

Classification and discrimination of emotion dysregulation disorders using machine learning.

Journal of affective disorders Jan 30, 2026

Attention-deficit/hyperactivity (ADHD), bipolar (BD) and borderline personality (BPD) disorders are severe psychiatric illnesses often presenting with overlapping emotion dysregulation symptoms. To date, it is unknown whether these disorders share a ... read more

High Accuracy but Low Explainability: The Challenge of Explainable Artificial Intelligence in Multiple Sclerosis Assessment From Magnetic Resonance Imaging Radiology Reports.

Seminars in ultrasound, CT, and MR Jan 30, 2026

Timely identification of disease progression and/or active lesions in multiple sclerosis (MS) is essential for clinical management. Radiology reports often contain complex language, making consistent interpretation challenging. We developed a natural... read more

Predicting nonresponse to sexual identity question in youth risk behavior surveillance: A machine learning analysis of complex survey data.

Annals of epidemiology Jan 30, 2026

PURPOSE: To compare seven machine learning (ML) models developed to predict non-response to the sexual identity question in the 2023 Youth Risk Behavior Surveillance System (YRBSS) and identify the best-performing ML model, along with key attributes ... read more

A machine learning framework to assess global mangrove forestation potential under current and future climate scenarios.

Environmental research Jan 30, 2026

Mangrove forestation is one of the most efficient forestry practices for carbon sequestration. This study developed a machine learning framework that integrated the random forest algorithm, SHapley Additive exPlanations (SHAP), and partial dependence... read more

Ensemble machine learning prediction of compressive strength in waste-derived sulfoaluminate cement paste.

Environmental research Jan 30, 2026

Industrial solid wastes are increasingly used as alternative feedstocks for synthesising sulfoaluminate cement (SAC). However, their complexity in compositions leads to unstable performance. To optimise production, machine learning (ML) models are de... read more

Development and validation of an interpretable machine learning model for early prediction of deterioration in patients with severe fever with thrombocytopenia syndrome.

Acta tropica Jan 30, 2026

BACKGROUND: Severe Fever with Thrombocytopenia Syndrome (SFTS) is a severe tick-borne viral infection with high mortality, making the timely prediction of clinical deterioration critical. Current predictive models lack timeliness and generalizability... read more

From non-specific biomarker to targeted action: transdiagnostic and sex-specific drivers of high-CRP status in severe mental illness across the FondaMental Advanced Centers of Expertise (FACE) cohorts.

Brain, behavior, and immunity Jan 30, 2026

BACKGROUND AND OBJECTIVES: Low-grade systemic inflammation contributes to the pathophysiology of severe mental illness (SMI) in a substantial subset of patients, who often experience greater disease burden and poorer treatment response. Elevated C-re... read more

Artificial Intelligence Medical Compendium