「漲知識(shí)」AI改變生活,和蒙納士大學(xué)一起探索拯救生命的ECMO預(yù)測(cè)算法
指南者留學(xué)
2024-03-15 15:21:30
閱讀量:1020
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<p style="text-align: left; white-space: normal; margin: 0px; padding: 0px; box-sizing: border-box;"><strong style="box-sizing: border-box;">由蒙納士大學(xué)的工程師和心臟病學(xué)專家領(lǐng)導(dǎo)的一個(gè)研究小組利用人工智能 (AI) 開發(fā)了一種算法,可以準(zhǔn)確預(yù)測(cè)需要外部心肺支持 (ECMO) 的重癥監(jiān)護(hù)患者的生存率。</strong></p>
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<p style="text-align: left; white-space: normal; margin: 0px; padding: 0px; box-sizing: border-box;">ECMO 預(yù)測(cè)算法又稱為“ECMO PAL”,是第一個(gè)在大型國際患者隊(duì)列中訓(xùn)練和驗(yàn)證的由人工智能驅(qū)動(dòng)的 ECMO 生存評(píng)分。</p>
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<p style="text-align: left; white-space: normal; margin: 0px; padding: 0px; box-sizing: border-box;">這項(xiàng)研究的重要性和開創(chuàng)性得到了澳大利亞和新西蘭心臟協(xié)會(huì) (CSANZ) 的認(rèn)可。</p>
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<p style="margin: 0px; padding: 0px; box-sizing: border-box;"><strong style="box-sizing: border-box;">ECMO: 拯救生命,復(fù)雜但昂貴</strong></p>
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<p style="white-space: normal; margin: 0px; padding: 0px; box-sizing: border-box;"><span style="text-align: left; box-sizing: border-box;">體外膜肺氧合 (俗稱ECMO) 是一種在體外操作的人工心肺系統(tǒng),常用于支持患有嚴(yán)重心臟和呼吸衰竭的重?;颊摺?lt;/span></p>
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<p style="text-align: left; white-space: normal; margin: 0px; padding: 0px; box-sizing: border-box;">ECMO 可以拯救生命,但它也兼具復(fù)雜、高風(fēng)險(xiǎn)和昂貴的特性,因此適當(dāng)?shù)幕颊哐C選擇至關(guān)重要。</p>
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<p style="text-align: left; white-space: normal; margin: 0px; padding: 0px; box-sizing: border-box;">在蒙納士大學(xué)心肺工程與技術(shù)實(shí)驗(yàn)室 (CREATElab) 副主任、生物醫(yī)學(xué)工程師 Andrew Stephens 博士和 Michael Šeman 博士的領(lǐng)導(dǎo)下,多學(xué)科研究團(tuán)隊(duì)著手開發(fā)一種準(zhǔn)確有益的預(yù)測(cè)措施,以改善有關(guān) ECMO 患者選擇、管理和資源分配的數(shù)據(jù)驅(qū)動(dòng)決策。</p>
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<p style="margin: 0px; padding: 0px; box-sizing: border-box;"><strong style="box-sizing: border-box;">人工智能模型表現(xiàn)分?jǐn)?shù)優(yōu)于現(xiàn)有模型</strong></p>
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<p style="white-space: normal; margin: 0px; padding: 0px; box-sizing: border-box;"><span style="text-align: left; font-family: mp-quote, -apple-system-font, BlinkMacSystemFont, 'Helvetica Neue', 'PingFang SC', 'Hiragino Sans GB', 'Microsoft YaHei UI', 'Microsoft YaHei', Arial, sans-serif;">人工智能衍生模型 ECMO PAL 在預(yù)測(cè) ECMO 治療結(jié)果的能力方面優(yōu)于所有現(xiàn)有廣泛使用的評(píng)分系統(tǒng)。</span></p>
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<p style="text-align: left; white-space: normal; margin: 0px; padding: 0px; box-sizing: border-box;">ECMO PAL 被證實(shí)在不同地理區(qū)域范圍都具有高度的可靠性和通用性,并且能夠?qū)Σ煌幕颊呷后w做出準(zhǔn)確的預(yù)測(cè)。</p>
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<p style="text-align: left; white-space: normal; margin: 0px; padding: 0px; box-sizing: border-box;">Stephens 博士進(jìn)一步補(bǔ)充到:“使用人工智能為我們提供了一種先進(jìn)的替代統(tǒng)計(jì)方法來開發(fā)風(fēng)險(xiǎn)和生存評(píng)分。”</p>
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<p style="text-align: left; white-space: normal; margin: 0px; padding: 0px; box-sizing: border-box;"><strong style="box-sizing: border-box;">“人工智能可以應(yīng)用于大型和可變的數(shù)據(jù)集,它可以幫助發(fā)現(xiàn)傳統(tǒng)統(tǒng)計(jì)方法可能遺漏的模式及交互信息。”</strong></p>
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