An algorithm that can spot cause and effect could supercharge medical #AI https://buff.ly/2vOeE6Z @techreview #HealthTech #AI #MachineLearning #Robotics #Ethics Cc @DeepLearn007 @ahier @jblefevre60 @pierrepinna @MiaD @SpirosMargaris
An algorithm that can spot cause and effect could supercharge medical #AI https://buff.ly/2vOeE6Z @techreview #HealthTech #AI #MachineLearning #Robotics #Ethics Cc @DeepLearn007 @ahier @jblefevre60 @pierrepinna @MiaD @SpirosMargaris
An algorithm that can spot cause and effect could supercharge medical #AI https://buff.ly/2vOeE6Z @techreview #HealthTech #AI #MachineLearning #Robotics #Ethics Cc @DeepLearn007 @ahier @jblefevre60 @pierrepinna @MiaD @SpirosMargaris
An algorithm that can spot cause and effect could supercharge medical #AI https://buff.ly/2vOeE6Z @techreview #HealthTech #AI #MachineLearning #Robotics #Ethics Cc @DeepLearn007 @ahier @jblefevre60 @pierrepinna @MiaD @evankirstel @IrmaRaste @JohnNosta @SpirosMargaris
An algorithm, inspired by #quantum cryptography can spot cause and effect could supercharge medical #AI #ArtificialIntelligence #MachineLearning #BigData #DataScience @mvollmer1 @NevilleGaunt @Julez_Norton @enricomolinari @Fabriziobustama @KaiGrunwitz https://www.technologyreview.com/s/615141/an-algorithm-that-can-spot-cause-and-effect-could-supercharge-medical-ai/
"In health care, and specifically in genomics, #BigData is key to getting insights into the cause of many medical conditions," says Dekel Gelbman, CEO of FDNA and speaker at Stanford Medicine's upcoming #BigDataMed event. https://stan.md/2IqF3Jt
Medical error is the 3rd most common cause of death. #AI & #MachineLearning can warn doctors of things they need to… https://twitter.com/i/web/status/846869499022258176
