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峰会评论-Part2.pdf

上传人: orig****ity 编号:185069 2024-08-05 30页 2.96MB

1、Jeff BierFounder,Edge AI and Vision Alliance President,BDTIMay 24,2023A View from the Summit(Part 2)pm.What I Learned Yesterday 2023 Edge AI and Vision AllianceRuchi Upadhyay,STWhat I Learned Yesterday 2023 Edge AI and Vision AllianceRuchi Upadhyay,STKeurig Dr PepperWhat I Learned Yesterday 2023 Edg

2、e AI and Vision AllianceRuchi Upadhyay,STSimon Morris,Connected Vision AdvisorsKeurig Dr PepperWhat I Learned Yesterday 2023 Edge AI and Vision AllianceFahed Hassenat,Sensor CortekWhat I Learned Yesterday 2023 Edge AI and Vision AllianceJack Sim,StradvisionFahed Hassenat,Sensor CortekWhat I Learned

3、Yesterday 2023 Edge AI and Vision AllianceJack Sim,StradvisionFahed Hassenat,Sensor CortekFlorian Domengie,YoleOpportunities:Health CareApplications at Scale:Health CareHeartFlowVirtuSenseKepler Vision TechnologiesApplications at Scale:Health CareVerilySight DiagnosticsWhat Machines See in the Human

4、 RetinaErik Topol,Nature Machine Intelligence Earlier and more accurate detection of health issues More convenient care(e.g.,at home)Less invasive tests More effective treatment Reduced costs U.S.healthcare spending is over$4 trillion,18%of GDP(as of 2021)1 Worldwide healthcare spending is over$9 tr

5、illion,11%of GDP(as of 2020)2Perceptual AI in Healthcare12 2023 Edge AI and Vision Alliance1 Commonwealth Fund2 World Health OrganizationPeterson-KFF Health System TrackerTotal U.S.Health Expendituresas a%of Gross Domestic ProductHazard Ahead:Bias13 2023 Edge AI and Vision Alliance Perceptual and ot

6、her forms of AI are fueling powerful advances in healthcare As the role of AI grows,bias in algorithms is a huge risk“Dermatologist-level Detection of Suspicious Pigmented Skin Lesions from Wide-field Images”Soenksen,MIT NewsHazard Ahead:Bias14 2023 Edge AI and Vision AllianceCNNHarvard H.T.Chan Sch

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本文是关于2023年5月24日举行的Edge AI和Vision Alliance峰会的总结。文章讨论了AI在医疗保健领域的应用,包括早期更准确的健康问题检测、更便捷的护理、更少的侵入性测试、更有效的治疗和降低成本等。数据显示,2021年美国的医疗保健支出超过4万亿美元,占GDP的18%,而全球医疗保健支出超过9万亿美元,占GDP的11%。文章还指出,随着AI在医疗领域的作用越来越大,算法中的偏见是一个巨大的风险。此外,文章还提到了神经网络在各种功能中的应用,以及管理和发展深度神经网络的工具。最后,文章介绍了峰会的时间表和演讲者。
"AI在医疗领域的机遇与挑战是什么?" "如何确保AI算法在医疗诊断中的公平性和准确性?" "边缘AI技术在医疗应用中的前景如何?"
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