- Online data: AI-driven “Smart Data” to accurately predict and avoid adverse events for patients. The aggregate of this data will be used to formulate predictive analytics to be used across diverse patient populations, across the continuum of care, which will provide truly personalized medicine. For example, AI algorithms to detect heart problems: irregular heart rhythm disorder, atrial fibrillation, stroke risk sending online data to point of care and raise alarms.
- Machine Learning to provide:
◦ Biometrics patterns of people in different scenarios and detect anomalies.
◦ Rehabilitation algorithms
◦ Lifestyle medicine monitor regarding movement and exercise with recommendations by voice-bots and/or alarms
◦ Design treatment plans and personalized therapies for athletes performance and safety, without overstrain that will decrease physical condition and health in long term.