Aims and scope

The journal promotes trustworthy, testable artificial intelligence research with medical relevance, providing a forum for researchers, clinical practitioners and professionals working in health services.

1. Address medical needs

Research should address specific questions in understanding disease, diagnosis, treatment, prevention and health services. It should describe the target population, intended users, use settings and limitations of existing approaches, connecting technical objectives with medical needs.

2. Improve research quality

The journal encourages sound study design, transparent reporting of methods and reproducible analyses, with attention to data representativeness, evaluation design, appropriate comparators, independent validation and analysis of uncertainty.

3. Support translation and implementation

The journal examines the pathway from research development to application and supports systematic evaluation of clinical workflows, human–AI collaboration, usability, implementation outcomes, costs and resource requirements.

4. Pursue responsible innovation

The journal considers bias, fairness, privacy, safety, interpretability and responsibility. It encourages disclosure of technical limitations, failure scenarios and potential adverse effects to support evidence-based medical innovation.