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  2. Artificial intelligence in healthcare - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_in...

    Artificial intelligence utilises massive amounts of data to help with predicting illness, prevention, and diagnosis, as well as patient monitoring. In obstetrics, artificial intelligence is utilized in magnetic resonance imaging, ultrasound, and foetal cardiotocography. AI contributes in the resolution of a variety of obstetrical diagnostic issues.

  3. Health informatics - Wikipedia

    en.wikipedia.org/wiki/Health_informatics

    In the healthcare industry, health informatics has provided such technological solutions as telemedicine, surgical robots, electronic health records (EHR), Picture Archiving and Communication Systems (PACS), and decision support, artificial intelligence, and machine learning innovations including IBM's Watson and Google's DeepMind platform.

  4. Artificial intelligence in pharmacy - Wikipedia

    en.wikipedia.org/wiki/Artificial_Intelligence_in...

    Artificial intelligence in pharmacy is the application of artificial intelligence (AI) [1] [2] [3] to the discovery, development, and the treatment of patients with medications. [4] AI in pharmacy practices has the potential to revolutionize all aspects of pharmaceutical research as well as to improve the clinical application of pharmaceuticals ...

  5. ITU-WHO Focus Group on Artificial Intelligence for Health

    en.wikipedia.org/wiki/ITU-WHO_Focus_Group_on...

    The ITU-WHO Focus Group on Artificial Intelligence for Health (AI for Health) is an inter-agency collaboration between the World Health Organization and the ITU, which created a benchmarking framework to assess the accuracy of AI in health. [1] [2]

  6. Health information management - Wikipedia

    en.wikipedia.org/wiki/Health_information_management

    Healthcare quality and safety require that the right information be available at the right time to support patient care and health system management decisions. Gaining consensus on essential data content and documentation standards is a necessary prerequisite for high-quality data in the interconnected healthcare system of the future.

  7. Health information technology - Wikipedia

    en.wikipedia.org/wiki/Health_information_technology

    Healthcare information technology can also result in iatrogenesis if design and engineering are substandard, as illustrated in a 14-part detailed analysis done at the University of Sydney. [40] Numerous examples of bias introduced by artificial intelligence (AI) have been cited as the use of AI-assisted healthcare increases. See Algorithmic bias.

  8. openEHR - Wikipedia

    en.wikipedia.org/wiki/OpenEHR

    A central part of the openEHR specifications is the set of information models, known in openEHR as 'reference models'. [6] The models constitute the base information models for openEHR systems, and define the invariant semantics of the Electronic Health Record (EHR), EHR Extract, and Demographics model, as well as supporting data types, data structures, identifiers and useful design patterns.

  9. Age of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Age_of_Artificial_Intelligence

    Artificial intelligence is the development of computer systems enabling machines to learn, and make intelligent decisions to achieve a set of defined goals. [7] MIT physicist Max Tegmark was one of the first people to use the term "Age of Artificial Intelligence" in his 2017 non-fiction book Life 3.0: Being Human in the Age of Artificial ...

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