When.com Web Search

Search results

  1. Results From The WOW.Com Content Network
  2. AI and health care: Should we be worried? - AOL

    www.aol.com/news/ai-health-care-worried...

    A 2019 study found that an algorithm used to predict health care needs for more than 100 million people was biased against Black patients. “The algorithm relied on health care spending to ...

  3. Black in AI - Wikipedia

    en.wikipedia.org/wiki/Black_in_AI

    Because of algorithmic bias, ethical issues, and underrepresentation of Black people in AI roles; there has been an ongoing need for unity within the AI community to have focus on these issues. Black in AI has strived to continue the progress of improving the presence of people of color in the field of artificial intelligence. [8] In 2018 and ...

  4. CBC aims to protect Black Americans from divisive AI ... - AOL

    www.aol.com/cbc-aims-protect-black-americans...

    In the coming weeks, the caucus plans to work with public policy leaders “to identify and address issues of bias and discrimination in AI systems” and propose laws that would protect Black ...

  5. 44 percent: Black doctors and healthcare, Little Haiti Book ...

    www.aol.com/44-percent-black-doctors-healthcare...

    A 2022 Gallup poll revealed more than 53% of Black people found it challenging to find a Black healthcare provider. By comparison, 85% of White people and nearly 60% of Hispanic people found it ...

  6. 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.

  7. Medical racism in the United States - Wikipedia

    en.wikipedia.org/wiki/Medical_racism_in_the...

    Low SES (socioeconomic status) is an important determinant to quality and access of health care because people with lower incomes are more likely to be uninsured, have poorer quality of health care, and or seek health care less often, resulting in unconscious biases throughout the medical field. [12]

  8. Bias in medical algorithms is one of AI’s long-running issues ...

    www.aol.com/finance/bias-medical-algorithms-one...

    As I’ve written about in this newsletter many times, AI is sweeping the healthcare industry—from drug discovery to AI-enhanced mammograms to transcription of clinical medical documents.

  9. Race and health - Wikipedia

    en.wikipedia.org/wiki/Race_and_health

    Addressing these structural issues is crucial for improving health equity and reducing the systemic disadvantages faced by racial and ethnic minorities. [21] Macias-Konstantopoulos et al. (2023) highlight how these factors disproportionately affect Black, Indigenous, and People of Color (BIPOC), leading to significant health-care inequities.