We’re excited to announce DBDS OPEN HOUSE 2025 – and we’d love for you to join us!
Date: May 6, 2025
Time: 4pm-6pm
Location: Edwards Building, 300 Pasteur Drive, 3rd floor, Stanford, CA 94305
“Auditing the inference processes of medical-image classifiers by leveraging generative AI and the expertise of physicians” by Roxana Daneshjou (et all) was featured on the latest cover of Nature Biomedical Engineering.
Abtract: The inferences of most machine-learning models powering medical artificial intelligence are difficult to interpret. Here we report a general framework for model auditing that combines insights from medical experts with a highly expressive form of explainable artificial intelligence. Specifically, we leveraged the expertise of dermatologists for the clinical task of differentiating melanomas from melanoma ‘lookalikes’ on the basis of dermoscopic and clinical images of the skin, and the power of generative models to render ‘counterfactual’ images to understand the ‘reasoning’ processes of five medical-image classifiers.
Read it here:
https://www.nature.com/natbiomedeng/volumes/9/issues/3#NewsandViews
Congratulations, Roxana!
Only Weeks Away – Don’t Miss Out! Registration Filling Fast!
We are excited to invite you to the workshop “Experimental Design: AI for Science” happening at Stanford University on 3rd and 4th April 2025. The workshop focuses on theory and methodology of AI based experimental design and its application to addressing scientific problems. We have an exciting lineup of speakers including David Baker, Adji Bousso Dieng, Ashia Wilson, Stefano Ermon, Jennifer Listgarten, Aaron Streets, Andreas Krause, Brian Trippe, Yisong Yue, Jure Lesokvec and Kyunghyun Cho.
Website: edai4science.github.io
Registration for the workshop.
Submit abstracts before Mar. 15.
MedArena is a free platform for clinicians to use and compare how frontier LLMs work on medical queries.
Check it out at: https://medarena.ai/login