@ManaMSF94 10 months ago
Happy to share our latest publication, a collaboration between #MachineLearning Tools/Research and Education subcommittees of @SIIM_Tweets led by @ShahriarFaghani ! Our study focuses on reproducibility of DL models for medicallmaging #TheJDI http://rdcu.be/dgajs
@ImFusionGmbH 1 year ago
At #MIDL2022 in Zurich, our onsite team led by Head of ML @raphael_prevost, shared with delegates insights to our recent projects. Thanks to everyone who was there and joined our virtual booth, it was a pleasure🤍 #machinelearning #ai #thankyou #medicalimaging https://t.co/3lPGGL67r7
@PittCP3 3 years ago
New in @PLOSONE: CP3's @walidgellad and former CP3 postdoc @jennyciganic led development of a #machinelearning algorithm to predict risk of developing #opioid use disorder in #Medicare. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0235981 https://t.co/B2Wbq8GNld
@Radiology_AI 3 years ago
Failure to consider human factors in past technologies led to poor usability and serious unintended errors https://doi.org/10.1148/ryai.2020190095 @RajRatwani @MedicalHFE #ux #ML #MachineLearning https://t.co/X5D72Rky4N
@GSCollins 4 years ago
NEW PRINT on @medrxivpreprint (led by @JamesASmith92) Financial interests and evidence in public comments on the #FDA framework for modifications to #ArtificialIntelligence / #MachineLearning learning-based #Medicaldevices https://www.medrxiv.org/content/10.1101/2019.12.11.19013953v1 @ndorms @OxfordBRC @CSMOxford