Ethics

STRATUM-OS: first step in the development and validation of the STRATUM tool based on multimodal data processing to assist surgery in patients affected by intra-axial brain tumours - observational study protocol.

INTRODUCTION: Integrated digital diagnostics can support complex surgeries in many anatomic sites, and brain tumour surgery represents one of the most complex cases. Neurosurgeons face several challenges during brain tumour surgeries, such as differentiating critical tissue from brain tumour margins. To overcome these challenges, the STRATUM project will develop a 3D decision support tool for brai...

Use of smart glasses for ultrasound-guided radial arterial catheterisation in obese patients: study protocol for a single-centre randomised clinical trial in China.

INTRODUCTION: Ultrasound guidance improves the success rate and efficiency of radial arterial catheterisation (RAC). However, the procedure remains more challenging in obese patients, in whom excess subcutaneous tissue can impair anatomical visualisation. Additionally, frequent head shifts between the procedural site and ultrasound screen usually increase procedural complexity, prolong the procedu...

Implementing artificial intelligence (AI) to facilitate health outcomes in mood disorders: Application versus aspiration.

The burden of depressive and bipolar disorders at the individual and societal level are extraordinary and increasing. For decades, evidence-based trea...

Neural Vision Restoration in Ophthalmology.

Neural vision restoration is a rapidly advancing discipline at the intersection of neuroscience, bioengineering, and ophthalmology. This review synthe...

Artificial intelligence to improve the detection and risk stratification of acute pulmonary embolism (AID-PE): protocol for a pragmatic quasi-experimental comparator study.

INTRODUCTION: Pulmonary embolism (PE) is a potentially fatal condition requiring timely diagnosis and treatment. CT pulmonary angiography (CTPA) is th...

AI-Enhanced Continuing Professional Development as an Evolving Sociotechnical System: Multimethod Theoretical Framework Development Study.

BACKGROUND: Artificial intelligence (AI) is changing continuing professional development (CPD) in health care and its interactions with the broader he...

Assessing ChatGPT-4o's Image Generation for Educational Infographics in Plastic Surgery: A Pilot Study.

BACKGROUND: Integrating generative artificial intelligence (AI) in patient education has opened new avenues for creating engaging and informative cont...

Expert Consensus on Ethical Governance for Clinical Applications of Generative Medical Artificial Intelligence(2025 Edition).

The research and innovative applications of generative medical artificial intelligence(GMAI)are rapidly advancing in the healthcare field.Significant ...

Leading With Heart: The Enduring Foundation of Nursing Leadership in an Era of Transformation.

As healthcare accelerates into an era defined by artificial intelligence, precision medicine, and advanced technologies, nursing leadership faces a cr...

Dental students' knowledge, perceptions, and educational needs regarding artificial intelligence: a multinational cross-sectional survey.

AIMS: To explore undergraduate dental students' AI knowledge, perceptions, and concerns, and to identify their educational needs based on these findin...

Physics-informed graph neural networks for flow field estimation in carotid arteries.

Hemodynamic quantities are valuable biomedical risk factors for cardiovascular pathology such as atherosclerosis. Non-invasive, in-vivo measurement of...

Artificial intelligence in medical ethics education: a descriptive study of eight models in multiple choice question generation.

INTRODUCTION: Integrating artificial intelligence (AI) into medical education poses barriers and opportunities for medical educators. One of those opp...

Learner-Centered Microbiology Teaching via the Flipped Classroom Model: Insights from a Mixed-Methods Educational Study.

CONTEXT: Medical education has evolved to emphasize active learning and technology for competency development. The flipped classroom (FCR) model shift...

Profiling reasons for non-attendance in psychological assessments in adolescent suicide at-risk group using natural language processing.

BACKGROUND: Non-attendance at follow-up psychological evaluations is a major barrier to care for adolescents at risk of suicide. Identifying the facto...

Multi-omics profiling of chronic immune-mediated skin diseases: SKINERGY protocol and strategic evaluation.

BACKGROUND: The Dutch flagship project Next Generation ImmunoDermatology (NGID) aims to profile five chronic immune-mediated inflammatory skin disease...

Deep phenotyping of suicidal ideation after discharge from psychiatric inpatient care: study protocol for an interdisciplinary, multicentre prospective observational study in Psychiatric University Hospitals.

INTRODUCTION: Suicidal thoughts and behaviours (STB) are a critical public health concern, with 700 000 deaths by suicide each year. The period immedi...

Design and rationale of the artifiCiAl intelligence Model for Evaluating the surgical techniques of caRdiAc surgeons (CAMERA): a cohort study.

INTRODUCTION: Coronary artery bypass grafting (CABG) is a technically demanding procedure where surgical skill directly influences outcomes. Tradition...

Evaluating AI-powered learning assistants in engineering higher education with implications for student engagement, ethics, and policy.

As generative AI becomes increasingly integrated into higher education, understanding how students engage with these technologies is essential for res...

Teaching artificial intelligence to future radiographers: Curriculum enhancement in a New Zealand radiography course.

INTRODUCTION: Artificial intelligence (AI) is increasingly transforming radiography practice, creating a need for radiography students to develop foun...

Governance Framework for Safe and Ethical Implementation of Artificial Intelligence in Surgery: A Modified-Delphi Consensus.

BACKGROUND: Artificial intelligence (AI)-enabled clinical decision support systems (CDSS) demonstrate performance comparable or superior to human expe...