AIMC Topic: Humans
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Cox proportional hazards model with Bayesian neural network for survival prediction.
Scientific reports
Aug 27, 2025
Survival analysis plays a crucial aspect in medical research and other domains where understanding the time-to-events is paramount. In this study, we present a novel approach for estimating survival outcomes that combines Bayesian neural networks wit...
Performance of mental health chatbot agents in detecting and managing suicidal ideation.
Scientific reports
Aug 27, 2025
Advances in artificial intelligence (AI) technologies sparked a rapid development of smartphone applications designed to help individuals experiencing mental health problems through an AI-powered chatbot agent. However, the safety of such agents when...
Hierarchical query design and distributed attention in transformer for player group activity recognition in sports analysis.
Scientific reports
Aug 27, 2025
Group activity recognition in sports analysis is a critical challenge in computer vision, requiring robust modeling of complex player interactions and dynamic scenarios. Existing approaches predominantly rely on region-based features and two-stage pi...
Deep learning for classifying imaging patterns of interstitial lung disease associated with idiopathic inflammatory myopathies.
Scientific reports
Aug 27, 2025
Diagnosing and classifying the imaging patterns of idiopathic inflammatory myopathies-associated interstitial lung disease (IIM-ILD) is a crucial but challenging task requiring specialized physicians' expertise. This study aims to develop and validat...
All-flexible chronoepifluidic nanoplasmonic patch for label-free metabolite profiling in sweat.
Nature communications
Aug 27, 2025
Wearable sensors allow non-invasive monitoring of sweat metabolites, but their reliance on molecular recognition elements limits both physiological coverage and temporal resolution. Here we report an all-flexible chronoepifluidic surface-enhanced Ram...
Development and validation of a diagnostic prediction model for pancreatic ductal adenocarcinoma: VAPOR 1, protocol for a prospective multicentre case-control study.
BMJ open
Aug 27, 2025
INTRODUCTION: Pancreatic ductal adenocarcinoma (PDAC) continues to have extremely poor patient outcomes, unlike other cancer types which have seen significant improvements in their treatments and survival. A major contributing factor is that PDAC is ...
Evaluating the Quality and Understandability of Radiology Report Summaries Generated by ChatGPT: Survey Study.
JMIR formative research
Aug 27, 2025
BACKGROUND: Radiology reports convey critical medical information to health care providers and patients. Unfortunately, they are often difficult for patients to comprehend, causing confusion and anxiety, thereby limiting patient engagement in health ...
Misleading Results in Posttraumatic Stress Disorder Predictive Models Using Electronic Health Record Data: Algorithm Validation Study.
Journal of medical Internet research
Aug 27, 2025
BACKGROUND: Electronic health record (EHR) data are increasingly used in predictive models of posttraumatic stress disorder (PTSD), but it is unknown how multivariable prediction of an EHR-based diagnosis might differ from prediction of a more rigoro...
A Machine Learning Model for Predicting Sarcopenia Among Middle-Aged Adults: Development and External Validation.
JMIR medical informatics
Aug 27, 2025
BACKGROUND: Sarcopenia is a common muscle disorder in older adults, and its early identification and management in middle-aged populations are essential for ensuring a healthier later life. Detecting sarcopenia at an earlier stage may reduce the futu...
MRI-based machine-learning radiomics of the liver to predict liver-related events in hepatitis B virus-associated fibrosis.
European radiology experimental
Aug 27, 2025
BACKGROUND: The onset of liver-related events (LREs) in fibrosis indicates a poor prognosis and worsens patients' quality of life, making the prediction and early detection of LREs crucial. The aim of this study was to develop a radiomics model using...
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