S.U.R.E: Soft Upper-Limb Rehabilitation Exoskeleton. AI and Healthcare: A Case Study on Google DeepMind's Use of AI to Diagnose Acute Kidney Injury

Bahrami, Samar, School of Engineering and Applied Science, University of Virginia
Earle, Joshua, Engineering and Society, University of Virginia
Sun, Sarah, EN-Mech & Aero Engr Dept, University of Virginia

The technical project, S.U.R.E, involves designing a robot to assist victims of stroke with rehabilitation who have lost mobility in their upper-arm. S.U.R.E is designed to be an ease of access and affordable soft-exoskeleton used by stroke victims who do not have access to rehabilitation or physical therapy due to extenuating circumstances. The robot aids in flexion and extension of the arm via the elbow and fine-motor movement of the hand.
The STS project involves analyzing Google DeepMind's use of artificial intelligence to assist the NHS in effectively and efficiently diagnosing acute kidney injury, AKI. This project was surrounded by controversy and backlash due to the public's skepticism of DeepMind's intentions and poor execution on behalf of Google DeepMind and the NHS.

BS (Bachelor of Science)
stroke, rehabilitation, robot, soft-exoskeleton, Google DeepMind, acute kidney injury, artificial intelligence
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