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Version: 2.0.0

Additional Resources

Marker Paper

AI-READI Consortium. (2024). "AI-READI: rethinking data collection, preparation and
sharing for propelling AI-based discoveries in diabetes research and beyond."
Nature metabolism. https://doi.org/10.1038/s42255-024-01165-x

Other publications/presentations from the project

We are pleased to present several abstracts concerning work from AI-READI at the upcoming 2024 Association for Research in Vision and Ophthalmology (ARVO) Annual Meeting.

Date/TimeSession Number and Session TitleAbstract/Presentation TitlePresentation Number - Poster Number
May 6, 2024 from 8:30 AM to 10:15 AM216 - Machine learning for classificationHigh Prevalence of Artifacts in Optical Coherence Tomography Images with Adequate Signal Strength1598 - A0232
May 6, 2024 from 3:00 PM to 4:45 PM250 - Big data and EHR analysisClinical Dataset Structure: A Universal Standard for Structuring Clinical Research Data and Metadata2418 - A0310
May 7, 2024 from 1:15 PM to 3:00 PM347 - AI in epidemiology and clinical researchGeneration of a Multimodal Atlas of Type 2 Diabetes for Artificial Intelligence (AI-READI): Purpose and Design3728 - B0391
May 7, 2024 from 1:15 PM to 3:00 PM347 - AI in epidemiology and clinical researchArtificial Intelligence Ready and Equitable Atlas for Diabetes Insights (AI-READI) study: Report on recruitment strategy and pilot data collection3727 - B0390
May 7, 2024 from 1:15 PM to 3:00 PM347 - AI in epidemiology and clinical researchArtificial Intelligence Ready and Equitable Atlas for Diabetes Insights (AI-READI) Research Internship Program: Recruiting and Developing a Diverse AI Workforce3726 - B0389
May 9, 2024 from 8:00 AM to 9:45 AM510 - Advancements in ophthalmic imagingStreamlined DICOM Standardization in Retinal Imaging: Bridging Gaps in Ophthalmic Healthcare and AI Research5879 - B0480
May 9, 2024 from 11:45 AM to 1:30 PM534 - Ophthalmology health and healthcare researchPortable Environmental Sensor Enabling Studies of Exposome on Ocular Health6370 - B0692

Resources citing the dataset

We will add resources that cite the dataset as they become available.