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EU Observer Article Rating

Clear rules needed to protect patients using AI in healthcare, WHO warns

  • Bias Rating
  • Reliability

    45% ReliableAverage

  • Policy Leaning

    10% Center

  • Politician Portrayal

    N/A

Bias Score Analysis

The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.

Sentiments

Overall Sentiment

17% Positive

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  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

61% : "We know that, by tradition, when it comes to technology, regulation is always behind.
56% : For the WHO, the European region includes EU member states, plus the UK, Russia, Serbia, Georgia and others.
55% : David Novillo, lead author of the report, noted that the landscape is evolving rapidly, adding that regulation is key to ensuring patient safety and privacy as well as protecting health workers.
49% : I think that regulation is needed when it's about implementing digital solutions", Novillo told EUobserver. Natasha Azzopardi-Muscat, director of health systems of WHO Europe, framed the stakes clearly: "Either AI will be used to improve people's health and wellbeing, reduce the burden on our exhausted health workers and bring down health-care costs, or it could undermine patient safety, compromise privacy and entrench inequalities in care.
48% : As AI tools become more widespread across healthcare systems in Europe, a new report by the World Health Organization (WHO) on Wednesday (19 November) warns that the current legal framework on AI is not sufficient to protect European patients and healthcare workers.
34% : The main challenges European countries mentioned regarding AI implementation in health care are financial constraints and legal uncertainties like unclear responsibility when AI systems make mistakes, the UN health body argued.
29% : Without clear regulations, doctors may hesitate to use AI tools, and patients may have no way to seek compensation if errors occur.

*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.

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