Surveys

An integrated methodological roadmap for real-world biomarker studies: advancing oncology precision medicine through robust methodologies and machine learning integration.

The selection of biomarker-specific patient populations is essential in targeted cancer therapies to enhance precision and efficacy. To ensure a successful launch, it is vital to promote awareness and adoption of biomarker testing at diagnosis, tailor implementation strategies to accommodate local variations, and ensure testing is accessible and reimbursed. An integrated evidence generation plan s...

Accelerating Structure-Property Relationship Discovery with Multimodal Machine Learning and Self-Driving Microscopy.

Microscopy combined with local spectroscopy is widely used to correlate nanoscale structure with functional properties in materials, but conventional measurements rely heavily on human-selected sampling locations and predefined targets, limiting data set diversity and the potential for discovery. Here, we present a framework that integrates autonomous microscopy with dual-novelty deep kernel learn...

Thrombus imaging features influencing the choice of first-line thrombectomy strategy: an international survey of neurointerventionists.

INTRODUCTION: Endovascular thrombectomy (EVT) is the standard of care for large vessel occlusion stroke, but the optimal first-line strategy remains d...

Deep learning for CT-less attenuation correction synthesis in non-small cell lung cancer: A proof-of-concept evaluated for quantitative and physical characteristics.

To develop and rigorously validate a deep learning framework for CT-free positron emission tomography (PET) attenuation correction in non-small cell l...

Analyzing an organism's sensors using Maximum Entropy (MaxEnt) models with bias, variance, and confusion matrices.

Biological organisms have sensors that communicate information about the environment. Analyzing how well these biological sensors function has usually...

Measuring Depression Severity With Clinical Global Impression-Severity Scale Scores From Clinical Notes Using Large Language Models: Validation Study.

BACKGROUND: Real-world psychiatric care is marked by wide heterogeneity in clinical presentations and outcomes, underscoring the need for systematic a...

Behavioral Mechanisms of a Digital Health Intervention for Self-Management in Type 2 Diabetes Mellitus: Prospective Longitudinal Cohort Study.

BACKGROUND: Sustaining self-management is critical for optimizing clinical outcomes in individuals with type 2 diabetes mellitus (T2DM). Although digi...

Patterns of Engagement With an AI Conversational Agent for Mental Health and Associations With Anxiety and Depression: Cross-Sectional Study.

BACKGROUND: Digital mental health interventions using conversational AI agents are increasingly being adopted as scalable alternatives to traditional ...

Patient-Facing AI-Enabled Digital Health Technologies and Quality of Life in Cancer: Systematic Review and Exploratory Meta-Analysis.

BACKGROUND: Cancer affects multiple physical, psychological, and social aspects of an individual's life. Cancer survivors frequently report unmet need...

Human-Edited Generative AI-Assisted Multiple-Choice Questions in Postgraduate Family Medicine: Blinded Cross-Sectional Comparative Psychometric Study.

BACKGROUND: Generative artificial intelligence (GenAI) is increasingly used to draft multiple-choice questions (MCQs) for health professions education...

Automated Features, Algorithms, and Technologies of Electronic Early Warning/Track-and-Trigger Systems: Systematic Review.

BACKGROUND: Electronic early warning/track-and-trigger systems (EW/TTS) are crucial for patient monitoring, detecting clinical deterioration (CD), and...

Educational gaps and factors associated with artificial intelligence adoption among Egyptian periodontists: a multicenter cross-sectional study.

In periodontology, Artificial Intelligence (AI) applications, ranging from radiographic evaluation to outcome prediction, are emerging. However, their...

State of abdominal CT datasets: A critical review of bias, clinical relevance, and real-world applicability.

This review systematically searched publicly available abdominal CT datasets and critically evaluates suitability for artificial intelligence (AI) app...

Structured approaches to improving outcomes of oral exam in medical and paramedical education: A systematic review and evidence-based framework.

INTRODUCTION: Oral examinations are central to medical and paramedical education for assessing reasoning, communication, and professional competencies...

An exploratory survey of barriers and enablers of AI adoption in rural and urban dental practices in Mecklenburg-Western Pomerania, Germany.

Administrative tasks substantially limit the time available for direct patient care in dentistry. The use of artificial intelligence (AI) can reduce a...

From scrolling to spending: Psychological mechanisms of AI-driven impulse buying in live-stream shopping.

This study explores the relationship between perceived intrusiveness of AI recommendation and live-stream impulse buying in AI-enabled live-stream sho...

Sociodemographic bias in LLMs' clinical decision-making for dizziness.

ObjectiveAs large language models (LLMs) enter clinical decision support, concerns persist about sociodemographic bias. We assessed whether LLM recomm...

Can artificial intelligence accurately assess systematic review quality? Benchmarking large language models for AMSTAR 2 appraisal in dental evidence synthesis.

OBJECTIVE: To evaluate the accuracy and reliability of three AI platforms ChatGPT, Perplexity, and Google Gemini in assessing the methodological quali...

Agentic AI-Assisted Coding Offers a Unique Opportunity to Instill Epistemic Grounding during Software Development.

The capabilities of AI-assisted coding are progressing at a breakneck speed. Chat-based vibe coding has evolved into fully fledged AI-assisted, agenti...

Willingness to pay among individuals from the Dutch general population for artificial intelligence based apps for skin cancer detection: a survey-based mixed-methods study.

BACKGROUND: Rising skin cancer incidence increases pressure on the healthcare system. Artificial intelligence (AI)-based mobile health applications (m...