Publication | Multi-faceted AI implementation
Publication alert! “To warrant clinical adoption AI models require a multi-faceted implementation evaluation - NPJ Digital Medicine”
Publication in NPJ Digital Medicine
We are excited to share our latest publication in Nature (Partner Journals) Digital Medicine.
Conclusion: to establish trust and promote the use of AI in patient care, we need to evaluate its real-world effectiveness and usability in clinical settings, rather than focusing solely on statistical performance.
How can patients and clinicians benefit from AI?
AI technology is advancing rapidly, but how can we make sure it benefits patients and clinicians in the real world? At the Erasmus MC Datahub we are committed to ‘moving AI from bytes to bedside’; developing and deploying AI solutions that are safe, responsible and scalable.
In this publication, we explain that to foster trust and adoption of AI at the bedside, we need to look beyond traditional statistical measures of AI performance and evaluate the actual impact and utility of AI interventions in clinical settings.
We also give some practical recommendations and strategies for conducting and reporting such outcomes in future clinical trials and practice.
Read the full article
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Get in touch!
If you want to know more or have an idea for collaborations please come by for a cup of coffee at Ba-414, fill in the form below or send an email to datahub@erasmusmc.nl!
Let's work together!
We are always looking for new collaborations in the field of meaningful, reliable, and clinically applicable AI. Whether it’s joint research, projects, or events – both within and outside Erasmus MC – we are open to new ideas! Do you see other opportunities for valuable collaboration? Please feel free to get in touch, and we would love to discuss further!