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. 2018 Oct 4;6(1):106–110. doi: 10.1016/j.ijnss.2018.09.013

Table 2.

Some of the most sophisticated artificial intelligence machines today [[6], [7], [8], [9], [10], [11]].

Name of Artificial Intelligence system Capabilities
Google DeepMind Health Identifies all tasks that need to be performed in order to prevent individuals who have been admitted to a hospital from deteriorating, allocates patients to the necessary staff, and tracks what has and has not been done, and notify staff about necessary tasks
IBM's WatsonPaths Applies data analysis to patient records and translate it into useful advice to medical staff.
Offers evidence of how it came to its conclusion which can help healthcare providers consider new angles on how to treat their patients.
CareSkore Combines clinical, socio-economic, demographic, and behavioral data to create a holistic picture of patients that doctors and nurses can use to provide better preventative care
Zephyr Health Inc. Integrates thousands of data sources to create precise and predictive insights
Sentrian Uses machine learning to eliminate all preventable hospitalization by leveraging the revolution in biosensors and clinician-directed machine learning to remotely detect patient deterioration earlier and with higher accuracy
CloudMedx Uses healthcare specific nlp and machine learning for the generation of real-time clinical insights from all care points that is used to improve patient outcomes
Enlitic Uses medical deep learning that leverages proprietary algorithms to quickly and accurately improve healthcare diagnosis