Ethics

Development and validation of a disease-syndrome integrated assessment model for AECOPD severity: protocol for a nationwide multicentre cross-sectional study.

INTRODUCTION: Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) accelerate disease progression and increase mortality. Accurate severity assessment is essential for standardised clinical management. Traditional Chinese Medicine (TCM) shows efficacy in treating AECOPD, but no practical TCM-specific severity assessment tool exists. This study integrates multidimensional Western a...

Digital Pathology-Enabled Artificial Intelligence for Fibrosis Assessment in Metabolic Dysfunction-Associated Steatohepatitis: Needs, Current Progress, and Barriers.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is emerging as the most common chronic liver disorder worldwide. However, most of the candidate drugs, except resmetirom, have failed in the metabolic dysfunction-associated steatohepatitis (MASH) trials. The diagnosis of MASH relies on the assessment of key histological features: steatosis, ballooning, lobular inflammation, and fibr...

New healthcare management framework informed by peri-body perception space: a perspective.

The rising prevalence of chronic diseases demands a more effective healthcare management approach to overcome the constraints of existing health monit...

Debate: Conversational AI and young people's mental health - friend or foe? - the illusion of a safe space for youth mental health.

Artificially intelligent (AI) chatbots are increasingly used for mental health support, yet their safety guidelines and ethical structures remain uncl...

The rise of medical autonomous care, a paradigmatic turning point for military and civilian delivery of health care.

RATIONALE: Resource-limited or austere environments represent a direct threat to the likelihood of survival of patients in need of emergent care. Medi...

Mindfulness and artificial intelligence self-efficacy among university students: the mediating role of artificial intelligence literacy.

University students now use artificial intelligence (AI) tools in several academic activities, including information retrieval, writing support, and p...

Automated body composition quantification from non-contrast CT for urolithiasis classification and exploratory incident risk assessment.

To develop a deep learning-based body composition quantification framework from non-contrast CT for urolithiasis classification (calcium, non-calcium,...

Remaining Human in the Age of Artificial Intelligence: Spiritual and Psychiatric Reflections on Magnifica Humanitas.

Artificial intelligence (AI) is increasingly shaping the ways in which psychiatry understands, predicts, communicates, and responds to mental sufferin...

A Predictive Nomogram Integrating AI-Assisted Morphological Feature Extraction with Clinical and Ultrasound Parameters for Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer.

OBJECTIVE: To develop and validate a nomogram integrating artificial intelligence (AI)-extracted ultrasound features with clinic pathologic data for n...

Optimizing subsurface carbon-energy synergy by balancing diffusion and convection via physics-informed Bayesian learning.

The co-optimization of enhanced oil recovery and carbon dioxide sequestration in shale reservoirs is fundamentally constrained by the competing physic...

Effects of 5D built environment and non-built-environment factors on injury crash risk: An interpretable machine learning analysis.

To identify the key determinants of traffic injury risk and clarify the relative roles of built environment factors and crash-context factors, this st...

Theorizing digital-relational harm in nursing.

Digital infrastructures such as platforms, algorithms, and artificial intelligence (AI) are rapidly reshaping the conditions under which nursing care ...

The algorithmic covenant: why AI-driven consent must not replace clinician responsibility.

Health systems are increasingly deploying artificial intelligence (AI) tools to deliver procedural information, generate documentation, and support pa...

Artificial Intelligence-Assisted Screening for Patients With Diabetic Retinopathy and Age-Related Macular Degeneration in Family Medicine and Geriatric and Gerontology Care: Protocol for a Pragmatic Randomized Clinical Trial.

BACKGROUND: Diabetic retinopathy (DR) and age-related macular degeneration (AMD) are 2 of the leading causes of vision loss worldwide. As population a...

Using human 3D organoid models to gain mechanistic insight in motor neuron diseases.

Motor neuron diseases (MNDs) are caused by the progressive loss of motor neurons and eventually lead to paralysis and death. Once viewed as primarily ...

Evaluation and Comparison of Latent Health Risk Prediction Models for Clinical Triage: Protocol for a Mixed Methods Study.

BACKGROUND: Clinical triage requires integrating multiple information sources to identify patients at risk of deterioration. Tools capturing global he...

Principles for medical students' responsible use of generative AI: a student-partnered Delphi study.

BACKGROUND: Due to the widespread use of generative artificial intelligence (GenAI) in undergraduate medical education (UGME), this study aimed to dev...

Personality traits, technology affinity, and artificial intelligence readiness in medical students: a multinational cross-sectional study.

BACKGROUND: Artificial intelligence is increasingly embedded in clinical practice and medical education, yet the psychological determinants of student...

Epistemic humility meets virtual reality: teaching an old ideal with novel tools.

The pace of scientific advancements in medicine, driven by artificial intelligence as much as by novel biotechnologies, demands an ever-faster update ...

Exploring tuberculosis physicians' preferences for AI explainability in China: a protocol for a discrete choice experiment.

INTRODUCTION: Artificial intelligence (AI) is increasingly used in tuberculosis (TB) diagnosis, but its clinical adoption depends not only on accuracy...