@flatironhealth 1 year ago
#ClinicalDecisionSupport at the point of care benefits patients and clinicians alike. Hear from @flatironhealth Medical director @aaronbcohen, on how #machinelearning can be used as a tool to support decision making for clinicians. https://t.co/A0j0aajLQ2
@nejm_ai 1 year ago
Meet the hosts of NEJM AI Grand Rounds: @arjunmanrai, PhD, is an assistant professor of biomedical informatics @harvardmed. Raj directs a research lab of #machinelearning scientists, clinicians, and biomedical data scientists working to improve medical decision making. https://t.co/hJamOx7ci6
@PLOSCompBiol 3 years ago
In their new article Cabeli, Verny, Sella & colleagues developed a #MachineLearning approach to analyze medical records & help clinicians visualise the interrelations between clinical examinations & the variety of syndromes implicated in complex diseases: http://plos.io/2XycrGX https://t.co/UasrQpeg1R
@AlexandreLoupy 4 years ago
We have created medical #cyborgs @ParisTxGroup. Clinicians with strong medical background + PhD in #biostatistics + robust knowledge in methodology & #MachineLearning. Outside the usual boundaries, we now have to coin a term to qualify them: Digital clinical scientists ? https://t.co/DpshHSFcWD
@LancetDigitalH 4 years ago
Listen up! @pearsekeane and @RupaSarka discuss an automated tool for clinicians to learn deep learning design for medical image classification in our latest podcast. #MachineLearning Listen here: https://hubs.ly/H0kCzJh0 https://t.co/9IL6y8H0A0
@ewenharrison 4 years ago
Geek warning 🤓 Have just setup @RStudio with @TensorFlow and #Keras on @AWScloud and now have 4xTesla V100 GPUs running deep learning models for medical imaging. #MachineLearning needs clinicians guiding priorities - get involved! @fchollet https://t.co/olyBrvLl2K