人工智慧(AI)在新冠肺炎疫情中,可扮演什麼角色?學者專家們指出幾個例子:AI可用來預測季節將如何影響COVID-19的傳播與流行。或藉由搜尋引擎及社交媒體,如百度及WeChat、及行動支付軟體所提供武漢周圍的移動資料,再藉由機器學習模式,預測疾病將擴展至哪個城市並進行邊境管制。此外,AI亦可協助肺部電腦斷層掃描判讀,加速疾病診斷。但,有效的AI預測仍有賴高品質之資料。

(財團法人國家衛生研究院 莊淑鈞博士摘要整理)

Confirmed cases of coronavirus disease 2019 (COVID-19) exceed those of severe acute respiratory syndrome (SARS), and, at time of publication, now stand at over 73,435 confirmed cases and over 2000 deaths globally, nearly all in China. By comparison, SARS killed 774 people in 2003, again mostly in China, the epicentre of both outbreaks. Both COVID-19 and SARS spread across continents, infect animals and humans, and use similar mechanics to enter and infect the cell. On the frontline, tactical response to COVID-19 is similar to that of SARS but one major difference exists: in the 17 years since SARS, a powerful new tool has emerged that could potentially be instrumental in keeping this virus within reasonable limits—namely, artificial intelligence (AI).
Few would argue that AI is causing a paradigm shift in health care and there might be value in the application of AI to the current COVID-19 outbreak, for example, in predicting the location of the next outbreak. This application is effectively what the Canadian company, Blue Dot, has attempted to do and as such was widely reported as the first organisation to reveal news of the outbreak in late December. Various other applications of AI that have emerged in response to the latest epidemic include BenevolentAI and Imperial College London, which report that a drug approved for rheumatoid arthritis, baricitinib, might be effective against the virus, while Insilico Medicine based in Hong Kong recently announced that its AI algorithms had designed six new molecules that could halt viral replication.

Author:Becky McCall
原始連結:https://www.thelancet.com/journals/landig/article/PIIS2589-7500(20)30054-6/fulltext