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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. ITU-WHO Focus Group on Artificial Intelligence for Health

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

    The documents address ethics, assessment/evaluation, handling, and regulation of AI for health solutions, covering specific use cases including AI in ophthalmology, histopathology, dentistry, malaria detection, radiology, symptom checker applications, etc. FG-AI4H has established an ad hoc group concerned with digital technologies for health ...

  4. Healthcare Information and Management Systems Society

    en.wikipedia.org/wiki/Healthcare_Information_and...

    The Healthcare Information and Management Systems Society (HIMSS) was established in 1961 as the Hospital Management Systems Society (HMSS) by Edward J. Gerner and Harold E. Smalley. The first national convention was held in Baltimore in 1962, and the organization moved its headquarters to Chicago in 1964.

  5. Regulation of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Regulation_of_artificial...

    The companies committed to ensure AI products undergo both internal and external security testing before public release; to share information on the management of AI risks with the industry, governments, civil society, and academia; to prioritize cybersecurity and protect proprietary AI system components; to develop mechanisms to inform users ...

  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. Artificial intelligence in government - Wikipedia

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

    Risks associated with the use of AI in government include AI becoming susceptible to bias, [2] a lack of transparency in how an AI application may make decisions, [7] and the accountability for any such decisions. [7] AI in governance and the economic world might make the market more difficult for companies to keep up with the increases in ...

  8. Artificial intelligence in mental health - Wikipedia

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

    Artificial intelligence in mental health is the application of artificial intelligence (AI), computational technologies and algorithms to supplement the understanding, diagnosis, and treatment of mental health disorders. [1] [2] [3] AI is becoming a ubiquitous force in everyday life which can be seen through frequent operation of models like ...

  9. Health informatics - Wikipedia

    en.wikipedia.org/wiki/Health_informatics

    The Russian health care system is based on the principles of the Soviet health care system, which was oriented on mass prophylaxis, prevention of infection and epidemic diseases, vaccination and immunization of the population on a socially protected basis. The current government health care system consists of several directions: