AI Medical Compendium

Machine Learning for Predicting Venous Thromboembolism After Joint Arthroplasty: Systematic Review of Clinical Applicability and Model Performance.

JMIR medical informatics Feb 12, 2026

BACKGROUND: There is increasing research on machine learning in predicting venous thromboembolism after joint arthroplasty, but the quality and clinical applicability of these models remain uncertain. OBJECTIVE: This systematic review aims to evaluat... read more

Using AI to Train Future Clinicians in Depression Assessment: Feasibility Study.

JMIR medical education Feb 12, 2026

BACKGROUND: Depression is a major global health care challenge, causing significant individual distress but also contributing to a substantial global burden. Timely and accurate diagnosis is crucial. To help future clinicians develop these essential ... read more

Evaluating an AI-Enabled Mobile Mental Health Monitoring Tool Among Family Caregivers of Adults Living With Cancer: Single-Arm Feasibility and Acceptability Trial Protocol.

JMIR research protocols Feb 12, 2026

BACKGROUND: Psychological distress, particularly symptoms of depression and anxiety (D&A), is highly prevalent among family caregivers of individuals living with cancer, who often assume central roles in care coordination, treatment adherence, sympto... read more

Adolescent Perceptions of an Online Safety Chatbot: Survey Study.

JMIR human factors Feb 12, 2026

BACKGROUND: Adolescents face a variety of potential harms in the online environment, including exposure to distressing illegal material, cyberbullying, image-based abuse, and "sextortion." Various agencies provide on-demand helpline and information s... read more

Volume electron microscopy reveals heterogeneity of the hemostatic response in veins and arteries.

Blood advances Feb 12, 2026

Intravital imaging studies have provided insights into the spatial and temporal variations of platelet activation and thrombin generation that occur during hemostasis, but these studies are generally limited to small vessels due to practical limitati... read more

A new graph-transformer framework for EEG-based differentiation of Alzheimer's disease and frontotemporal dementia.

Biomedical physics & engineering express Feb 12, 2026

Differentiating between Alzheimer's disease (AD), frontotemporal dementia (FTD), and cognitively normal (CN) subjects remains a significant challenge in clinical neurodiagnosis. This study introduces an automated framework that combines electroenceph... read more

Development and evaluation of a prediction model for adult ICU hemorrhage using only continuous cardiorespiratory data.

Physiological measurement Feb 12, 2026

Develop and evaluate whether a model trained to detect the physiological signature of hemorrhage in ICU patients generalizes to other cohorts. Approach: We collected cardiorespiratory monitoring data and packed red blood cell administration data ... read more

Linking Individual Motives to the Type of Exercise and Sport Activity: Toward Recommendations for Optimal Activity Matching Through a Machine Learning Approach.

Journal of physical activity & health Feb 12, 2026

BACKGROUND: To effectively promote exercise and sport behavior, it is often emphasized that individual motives should be more strongly considered. The assumption is that people are more likely to maintain an activity if their motives are satisfied. T... read more

Evaluation of the Mayo endoscopic score in ulcerative colitis using a multimodal large language model: a human-blinded accuracy study.

Intestinal research Feb 12, 2026

BACKGROUND/AIMS: To date, some large language models (LLMs), such as Chat Generative Pre-trained Transformer 4-omni (ChatGPT-4o), can process images through visual transformer patching. An LLM analysis was conducted to assess the ability of ChatGPT-4... read more

Generative AI Scribes may Contribute to Systemic Inequity.

Journal of cutaneous medicine and surgery Feb 12, 2026

Artificial Intelligence Medical Compendium