5 key principles that should be remembered for smart use of #ArtificialIntelligence as adoption of #MachineLearning systems becomes more widespread in medical imaging: ➡️knowledge base ➡️metrics ➡️bias ➡️model fragility ➡️error-prone behavior #DataScience https://rdcu.be/cdI0d https://t.co/OvNVtwfl94
#AI can provide a knowledge base that can be a foundation for the interpretation of #data. The importance of the humanistic elements of medicine remain vital. #MachineLearning #SupervisedLearning #Data @AINewsletter @IBMAnalytics @OpenAI http://ow.ly/fUKv30opaaN
RT @greengart: Apple ResearchKit: using huge iOS installed base to help medical researchers w/ larger sample sizes, better data, 2 way communication. Huge.