AI & ML interests

Build powerful medical benchmarks securely MedPerf is an open-source framework for benchmarking AI models to deliver clinical efficacy while prioritizing patient privacy and mitigating legal and regulatory risks. It enables federated evaluation in which AI models are securely distributed to various facilities for evaluation. The MedPerf approach empowers healthcare organizations to assess and verify the performance of AI models in an efficient and human-supervised process without sharing any patient data across facilities during the process. It reduces the risks and costs associated with data sharing, towards maximizing medical and patient outcomes. MedPerf provides the end-to-end toolchain you’ll need to get involved: from organizing the experiment, to carrying it out, to producing results. We provide the database storage, a REST API, researcher tooling to package algorithms to run with any data, and clinician tooling to easily run the algorithms without patient data ever leaving their premises. MedPerf is licensed under Apache license, making it free to use for any purpose, redistribute, or modify.

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Dana-Farber  updated a Space about 2 years ago
medperf/README
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MedPerf is an open-source platform for benchmarking AI models to deliver clinical efficacy.

How it works and who’s involved: continue reading at www.medperf.org

*** Currently active benchmarks ***

1 - FeTS 2023, the Federated Tumor Segmentation initiative 👉 https://www.fets.ai

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