Calls for papers

This collection assembles solution-oriented research, implementation science, and policy analyses that demonstrate how digital medicine can be adopted and scaled for impact within low-resourced settings.

This Collection invites research on exploring how AI performs in real-world clinical settings, focusing on utility, safety, equity, and impact on healthcare.

This collection invites research on AI technologies for population medicine and public health.

The collection focuses on AI tools that support or deliver therapeutic interventions in mental health.

This collection invites submissions on topics related to the use and/or teaching of AI in undergraduate, postgraduate, and/or continuing medical education.

This collection focuses on the impact of agentic AI on care delivery. This includes demographic variables, healthcare models, infrastructure, ethics and quality.

This Collection invites research on methods and applications integrating biomedical and physical knowledge into machine learning to predict, prevent and manage disease progression.

This Collection focuses on the application of artificial intelligence (AI) in sports medicine, to improve athlete health, wellbeing and performance globally.

This collection focuses on advancements in digital health and precision medicine that are revolutionizing how we approach diagnosis, treatment, and prevention. Several emerging technologies, such as video analysis, pose estimation, signal analysis, and wearable devices are reshaping healthcare practices, providing insights into individual health, and enabling tailored therapeutic solutions.

This Collection focuses on the unique challenges and opportunities for artificial intelligence (AI) applications in the emergency department (ED) and intensive care unit (ICU), environments where rapid decision-making and precision are critical to patient survival. These settings are characterized by their fast pace, high patient turnover, unpredictable workloads, and the need to manage acute and life-threatening conditions.