@woojinrad 1 year ago
AI for medical imaging must be monitored for bias. Monitoring for bias will become more and more essential, just as monitoring for drift and #MachineLearning model decay. https://buff.ly/3VcUMBE @AuntMinnie #ImagingAI #AI #AIbias #ImagingInformatics https://t.co/d9SMbVuTWq
@freddytn 2 years ago
New #AI #DeepLearning #technology algorithm trained to optimize doses of propofol to maintain unconsciousness during general #anesthesia could augment patient monitoring #health #healthcare #medicine #MachineLearning @MIT @MIT_IMES @mit_hst @MIT_Picower https://news.mit.edu/2022/research-advances-technology-ai-assistance-anesthesiologists-0214
@Michael_D_Moor 2 years ago
Preprint alert! Interested in #MachineLearning in #medicine and #sepsis? We developed and validated a #DeepLearning model for predicting sepsis across 5 ICU databases from 3 countries featuring 156k ICU stays and 783 patient years worth of monitoring data. A 🧵. 1/n https://t.co/4RL3UaXYIY
@_Sivasai 2 years ago
Flexible multiplexed #immunosensor fr point-of-care in situ #wound monitoring #DHPSP #PointOfCare #AI #Skin #Teledermatology #100daysofcode #MedTwitterAI #ML #dermtwitter #skincare #MachineLearning #DeepLearning #meded #MedTwitter #healthtech #MedTech #medicinaldevices #scicomm https://twitter.com/_atanas_/status/1396141559880560642