@INM7_ISN 2 years ago
Do we need to re-think #MachineLearning for (brain) medicine? Current proof-of-concept studies on retrospective, repository data may not yield a relevant practical impact @den_hed & I argue for more "doctors at the black box" for more user perspective https://www.nature.com/articles/s41380-020-00931-z https://t.co/6NJrne9tuu
@Radiology_AI 3 years ago
We should employ user-centered design to maximize success of modern #AI in #radiology. https://doi.org/10.1148/ryai.2020190095 @RajRatwani @MedicalHFE #UserCentered #RadAI #MachineLearning https://t.co/DZHrGDkycu
@dipymri 4 years ago
We are so proud of DIPY 1.0.0! A big thank you to all those who helped and to our large user community! Do not forget to checkout out our new website: https://dipy.org !! #diffusion #mri #Software #MachineLearning #Medical #neuroscience #Python #brain https://t.co/9XCqZRqm7K