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  2. Impact of the COVID-19 pandemic on healthcare workers

    en.wikipedia.org/wiki/Impact_of_the_COVID-19...

    In May 2020, the International Council of Nurses reported that at least 90,000 healthcare workers have been infected and more than 260 nurses had died due to the COVID-19 pandemic. [6] In March 2020, one in four doctors in the UK were off sick, in isolation or caring for a family member with COVID-19.

  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. CDC: Nurses were largest proportion of health care workers ...

    www.aol.com/article/lifestyle/2020/10/27/cdc...

    The researchers discovered that 6 percent of adults hospitalized after being infected with SARS-CoV-2, the virus that causes COVID-19, during that time were health care workers. Of those, 36 ...

  5. Georgia health care is the worst in the US, study says. Here ...

    www.aol.com/georgia-healthcare-worst-us-study...

    Georgia’s health outcomes took a hit from high mortality rates for residents with kidney disease (18.87 deaths per 100,000 residents) and strokes (44.27 deaths per 100,000).

  6. Artificial intelligence in healthcare - Wikipedia

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

    Some believe that AI may avert healthcare worker burnout and cognitive overload, so that doctors who take advantage of AI in healthcare will provide greater quality healthcare than doctors and medical establishments who do not. [148] Recently, there have been many discussions between healthcare experts in terms of AI and elder care.

  7. She lost her scholarship over an AI allegation — and it ...

    www.aol.com/she-lost-her-scholarship-over...

    AI detection tools look for patterns of "burstiness" and "perplexity” as opposed to comparing the similarity of student work to something in a database or on the web, according to Conrad.