More data is being generated than can be analysed - but enough of it is being studied to spot patterns in behaviour and genes to speed up drug discovery and development.
Though the data scientists need to make sure they feed in the right data. For example, in a study designed to detect hip fractures, it turned out the AI was using the patient's age and particularly the imaging device model to make its prediction. This worked because portable scanners are only used then the patient is too immobile to get to a hospital - and this limitation turned out to be a bigger indicator than any details on the image itself.
Machine learning identifies patients risk of cardiovascular deathGEEK - 13-Sep-2019
RiskCardio relies on 15 minutes of a patient’s raw electrocardiogram (ECG) signalRead more...
AI guesses a person's biological age and sex using an ECGThe Register - 28-Aug-2019
Still not sure how the artificial intelligence does it thoughRead more...
AI can spot past atrial fibrillation even in a normal ECGBBC - 02-Aug-2019
Warns the doctors about rhythm abnormalities that went undetectedRead more...