Despite all the advances in medicine, chest X-Rays are still the most common imaging for diagnostics. We have developed AI technologies to faster analyze XRays and flag pathologies quickly and accurately. ~ Kabir Mahajan speaking #AIinAfrica #AICERoundtable #MachineLearning https://t.co/8zvGdJ2ECH
. @boltonnhsft deployed #AI from @qure_ai to help medics read chest x-rays to speed up #Covid19 diagnosis and treatment. What can other #NHS trusts learn about #MachineLearning from its experience? Our advisory board discussed with @rijan44 https://bit.ly/2LQssGn https://t.co/jBqHfi76ZX
Here's how Nitin Dang reconstructed Medical Images from the NIH Chest dataset using #GAN https://medium.com/jovianml/medical-image-reconstruction-using-generative-adversarial-networks-gans-87c2c3b224d #MachineLearning #DeepLearning #DataScience
How can deep learning help triage medical images? Take a closer look at detecting lung disease from chest xrays in this great report by @metaphdor. ⚕️ #machinelearning #deeplearning #100daysofmlcode https://app.wandb.ai/stacey/xray/reports/X-Ray-Illumination--Vmlldzo4MzA5MQ?utm_source=social_twitter&utm_medium=report&utm_campaign=report_healthcare
Find the recorded session on "Pneumonia Classification using chest X-Rays" along with the #code here - https://youtu.be/BvB7Ga_l6cI #webinar #100DaysOfCode #301DaysOfCode #100DaysOfMLCode #OpenSource #COVID19outbreak #pytorch #DeepLearning #MachineLearning #MedicalTechnology #ai #git https://t.co/usbiVlhVMQ
