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action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home4/scienrds/scienceandnerds/wp-includes/functions.php on line 6114Source:https:\/\/techcrunch.com\/2023\/06\/23\/uk-touts-21m-fund-to-bring-ai-to-the-national-health-service\/<\/a><\/br> The AI revolution<\/a> has swung full-force into the mainstream conversation this year, powered by consumer-friendly generative AI<\/a> applications such as OpenAI\u2019s ChatGPT<\/a>. But while such tools are raising myriad legal and ethical questions<\/a>, the emergence of new<\/a> and powerful large language models (LLMs) also have the potential<\/a> to revolutionize healthcare<\/a>.<\/p>\n This is why the U.K. government today announced that it\u2019s committing<\/a> \u00a321 million ($26.75 million) to National Health Service (NHS) trusts, which can apply for funding to \u201caccelerate the deployment of the most promising AI tools\u201d in hospitals across the country.<\/p>\n It\u2019s worth noting that the NHS has courted controversy in the past over its dabblings in the AI realm, with a U.K. data regulator ruling back in 2017 that a data-sharing partnership<\/a> the NHS had struck with Google\u2019s DeepMind\u2019s broke privacy laws<\/a>. This led to a class-action lawsuit<\/a> against Google, which was ultimately tossed out<\/a> by a U.K. court earlier this year.<\/p>\n But with recent advances in AI and LLMs, the U.K. has<\/a> been pushing to position itself<\/a> at the center of the AI gold rush, launching<\/a> \u201cglobal\u201d summits, million-pound prizes<\/a> for AI development, tech company-friendly guidelines<\/a> (rather than legislation) around AI development and a \u00a3100 million pot<\/a> to develop AI models for use in areas such as education and healthcare. And earlier this month, Prime Minister Rishi Sunak announced<\/a> that AI juggernauts OpenAI, Google\u2019s DeepMind and Anthropic were to provide \u201cearly or priority access\u201d to all their AI models as a means to support research into evaluation and safety of the AI.<\/p>\n Now, the U.K. has launched its so-called AI Diagnostic Fund to bring \u201cthe most promising AI imaging and decision-support tools\u201d to diagnose and treat patients with heart conditions, cancer and strokes. Indeed, the government said that it wants to deploy AI tools across all NHS stroke networks by the end of this year, having already used AI<\/a> to support clinical decision making in for several years already \u2014 prompted by the COVID-19 pandemic in 2020, which stretched the NHS to its limits.<\/p>\n \u201cThe use of AI decision support software in the initial stages of stroke care means patients get interventions quicker, reducing the likelihood of disability and saving the brains,\u201d said Dr. Deb Lowe, national clinical director for stroke medicine at NHS England, in a statement. \u201cWe are already seeing the positive impact of AI decision support software on stroke care, where rapid assessment and treatment are of the essence, and we now have real world evidence of the benefit for NHS patients.\u201d<\/p>\n On top of that, the government says that it\u2019s also looking to use AI to analyze chest x-rays, which will help clinicians detect early signs of lung cancer \u2014 the leading cause of cancer-related deaths in the U.K., killing more than 35,000 people<\/a>\u00a0each year.<\/p>\n According to the U.K.\u2019s department of health and social care, NHS Trusts will be able to apply for funds for \u201cany AI diagnostic tool\u201d that Trusts see fit to deploy, though it will have to justify its request in terms of value-for-money.<\/p>\n<\/p><\/div>\n <\/br><\/br><\/br><\/p>\n
\nUK touts \u00a321M fund to extend AI deeper into the National Health Service<\/br>
\n2023-06-23 21:51:33<\/br><\/p>\nDecision-support<\/h2>\n