Machine learning
The startup's tool records and transcribes conversations between providers and patients, and then organizes relevant information about health conditions, symptoms and next steps.
The device allows them to use handheld controllers to play video games.
This collaboration will work with an unnamed pharma company in Japan to know how its drugs behave compared to rival products.
The proposed system uses brain signals and neural patterns from children.
Ultromics’ EchoGo Core and EchoGo Pro platforms use AI-enabled echocardiograms to help physicians access heart function.
HIMSS21
Machine learning and artificial intelligence are a new frontier for healthcare, but providers and researchers need to work to ensure they use these new technologies ethically.
Azure Healthcare APIs let users input health data and map it to the Fast Healthcare Interoperability Resource to be searched, shared or managed.
Through video calls, Opsis Emotion AI’s software will be used by counsellers to help diagnose mental health conditions such as anxiety, stress and depression.
They will build machine learning algorithms to predict health risks for the elderly.
The study also found that applying a federated learning approach can further improve accuracy of the model.