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Collections
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Open for submissions
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Digital Medicine for Infectious Diseases
This Collection aims to showcase research on the clinical applications of digital medicine in infectious disease management.
Image: © sorbetto/DigitalVision Vectors/GettyImagesOpen for submissions -
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Moving from Problem Statements to Solutions: Implementing and Scaling Digital Medicine in Low-Resourced Settings
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.
Image: wilpuntOpen for submissions -
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Evaluating the Real-World Clinical Performance of AI
This Collection invites research on exploring how AI performs in real-world clinical settings, focusing on utility, safety, equity, and impact on healthcare.
Image: janiecbrosOpen for submissions -
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AI for Population Medicine and Public Health
This collection invites research on AI technologies for population medicine and public health.
Image: smartboy10Open for submissions -
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AI‑Enabled Therapies in Mental Health
The collection focuses on AI tools that support or deliver therapeutic interventions in mental health.
Image: Visual GenerationOpen for submissions -
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Transforming Medical Education through Artificial Intelligence
This collection invites submissions on topics related to the use and/or teaching of AI in undergraduate, postgraduate, and/or continuing medical education.
Image: ChinnapongOpen for submissions -
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Impact of Agentic AI on Care Delivery
This collection focuses on the impact of agentic AI on care delivery. This includes demographic variables, healthcare models, infrastructure, ethics and quality.
Image: Vertigo3dOpen for submissions -
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Physics-Informed Machine Learning for Personalized Disease Prediction, Prevention, and Management
This Collection invites research on methods and applications integrating biomedical and physical knowledge into machine learning to predict, prevent and manage disease progression.
Image: Suphanat KhumsapOpen for submissions -
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Artificial Intelligence in Sports Medicine
This Collection focuses on the application of artificial intelligence (AI) in sports medicine, to improve athlete health, wellbeing and performance globally.
Image: [M] Aflo ImagesOpen for submissions -
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Emerging Applications of Machine Learning and AI for Predictive Modeling in Precision Medicine
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.
Image: [M] VectorMine / Stock.adobe.com -
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Artificial Intelligence in Emergency and Critical Care Medicine
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.
Image: [M] Chaikom / Stock.adobe.com
Prospective and Interventional Clinical Evidence in Medical AI Research