Surveys

Informing age-friendly cultural landscape management through older adults' perception: An interpretable multi-source analysis in Nanjing.

Landscape perception is increasingly recognized as an important basis for environmental management, particularly in everyday urban landscapes used by socially diverse groups. In the context of population aging, cultural landscapes not only support daily outdoor activity and emotional attachment, but also provide perceptual and experiential values that can inform age-friendly landscape management. ...

MOFU: Development of a MOrphing Fluffy Unit with expansion and contraction capabilities and evaluation of the animacy of its movements.

Robots designed for therapy and social interaction are often intended to evoke a sense of "animacy" in humans. While many robots have been developed to imitate life-like appearance and joint movements, relatively little attention has been given to the effect of whole-body expansion and contraction-volume-changing movements commonly observed in living organisms-on perceived animacy. In this study, ...

Challenges in Medical Algorithmic Fairness.

Artificial intelligence (AI) is increasingly being integrated into oncology for applications including cancer detection, risk stratification, treatmen...

Clustering of rheumatoid arthritis patients: an unsupervised machine learning approach for characterizing the TNFi response.

This study aimed to identifydistinct profiles of response to Tumor Necrosis Factor inhibitors (TNFi) in rheumatoid arthritis (RA) patients using unsup...

Interpretable Topic Modeling of Spontaneous Speech in Depression Using Large Language Models: Multilingual Four-Cohort Study.

BACKGROUND: Depression is underdiagnosed worldwide, and clinicians rely on interpreting patients' subjective speech. Qualitative analysis of patient l...

Evaluating sex bias in artificial intelligence-based echocardiographic analysis: a retrospective study on individuals with normal cardiac function and patients with systolic and diastolic dysfunction.

BACKGROUND: Artificial intelligence (AI) has the potential to improve echocardiography. However, AI systems may exhibit sex bias, reproducing societal...

Artificial intelligence for predicting BCG response in non-muscle-invasive bladder cancer: a systematic review.

OBJECTIVES: To systematically identify, appraise and synthesise artificial intelligence (AI) and machine-learning (ML) models that predict treatment r...

Artificial Intelligence and Machine Learning-based prediction of tuberculosis treatment failure: A systematic review and meta-analysis.

BACKGROUND: Tuberculosis (TB) remains a leading cause of infectious disease mortality worldwide, and treatment failure contributes to ongoing transmis...

Deep Learning-Accelerated MRI Assessment of Hepatic Proton Density Fat Fraction: Agreement With Conventional Acquisition Across Manual and Automated Measurement Approaches.

BACKGROUND: Deep learning reconstruction can shorten breath-hold MRI for liver proton density fat fraction (DL-PDFF), but agreement with conventional ...

A hybrid MVDA-neural network model with auxiliary learning for pharmaceutical quality by design under small-sample constraints.

Quality by Design (QbD) is a systematic approach that builds quality into pharmaceutical products from early development. Within this framework, multi...

AI for Clinical Competency Assessment: Scoping Review of Methods and Applications.

BACKGROUND: Strengthening the global health workforce is central to achieving universal health coverage, but health systems cannot improve what they c...

Knowledge and perception of artificial intelligence among operating room staff in educational hospitals: a cross-sectional survey.

BACKGROUND: Successful implementation of artificial intelligence (AI) in healthcare depends not only on technological performance but also on the read...

Hierarchical Discrete Representations for Coarse-to-Fine Protein Conformation Generation.

MOTIVATION: Protein conformation generation remains a fundamental challenge in structural biology and machine learning. Proteins are highly dynamic ma...

Precision Lipid Management in the Era of Biotechnology and Artificial Intelligence: From Gene Editing to Smart Drug Delivery.

BACKGROUND: Hyperlipidemia is a major modifiable contributor to atherosclerotic cardiovascular disease (ASCVD). Despite statins as first-line therapy,...

Detecting and Mitigating AI Bias in Health Care: Development and Validation of a Unified Multistage Framework.

BACKGROUND: AI-driven clinical systems can improve diagnosis, prognosis, and resource allocation, but they may reproduce disparities encoded in histor...

[(DGH) Digitalisation in Hand Surgery - A Survey on the Current Situation among Members of the German Society for Hand Surgery (DGH)].

BACKGROUND: Digitalisation, and in particular the use of artificial intelligence (AI), is becoming increasingly important in medicine. At the same tim...

Validity of Using Artificial Intelligence to Predict Skeletal Maturation in Orthodontic Treatment: A Systematic Review and Meta-analysis.

This systematic review aimed to evaluate the performance and clinical validation of artificial intelligence (AI) and rule-based methods for skeletal m...

Preparing for the Augmented Intelligences: A Roadmap for Physicians in the Era of Artificial Intelligence and Robotics.

The integration of artificial intelligence and robotics into clinical medicine is no longer a question of whether but of how, and physicians currently...

Exploring Senior Dental Students' Readiness and Perceptions of Artificial Intelligence in Dentistry: Insights From a Cross-Sectional Study.

BACKGROUND: Artificial intelligence (AI) is increasingly influencing dentistry; however, senior dental students' readiness to understand and use AI re...

Regulatory Research Priorities for AI Use in the Medicine Lifecycle: A European Perspective with Global Relevance.

Regulatory bodies play a central role in providing guidance that enables safe and effective use of artificial intelligence tools in medicine developme...