@maxkelsen 2 years ago
Our Research Lab has developed a #machinelearning model that can rapidly diagnose glaucoma based off medical images, with an error rate less than half that of human doctors. #AI #glaucoma #MedTech #DigitalHealth https://www.brisbanetimes.com.au/national/queensland/ai-trained-to-spot-disease-that-sends-people-blind-20210706-p587ca.html
@yourICM 3 years ago
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
@IainLJBrown 5 years ago
Beware! Medical AI systems are easy targets for fraud and error Read more here: https://ift.tt/2qMeCqh #DataScience #MachineLearning #ArtificialIntelligence #NLP #AI #IoT #BigData
@IainLJBrown 5 years ago
Beware! Medical AI systems are easy targets for fraud and error Read more here: https://ift.tt/2qMeCqh #DataScience #MachineLearning #ArtificialIntelligence #NLP #AI #IoT #BigData https://t.co/zhlBSquuq6
@2morrowknight 6 years ago
Medical error is 3rd most common cause of death. #AI and #MachineLearning can warn doctors about things they need to review. #EmTechDigital https://t.co/hsMapfWYfO
@Bill_Gross 7 years ago
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