AI Stethoscope Heart Valve Disease Detection | Cambridge Study
Explore Cambridge University's AI stethoscope study outperforming GPs in early heart valve disease detection, with implications for NHS and research careers.
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Professor Anurag Agarwal is Professor of Acoustics and Biomedical Technology in the Department of Engineering at the University of Cambridge. He serves as Head of the Fluids Group and the Acoustics lab. Agarwal studied aerospace engineering at the Indian Institute of Technology Bombay and earned a PhD specialising in acoustics and aerodynamics from Pennsylvania State University. He joined the University of Cambridge Department of Engineering in 2010 and became a Fellow at Emmanuel College. Since 2021 he has held the title of Professor of Acoustics and Biomedical Technology. He is the Dhruv Sawhney Fellow of Emmanuel College, a Fellow of the Cambridge Philosophical Society, co-founder and Chief Scientific Officer of Biophonics, and Enterprise Champion and Diversity Champion for the School of Technology.
Agarwal’s research focuses on acoustics and aerodynamics in aerospace, domestic appliances, and biomedical applications. His work includes the use of artificial intelligence for diagnosing heart and lung diseases, noise reduction in aeroplanes, gas turbines, wind turbines and appliances, and understanding the physics of blood-pressure measurement and bodily sounds. Collaborators include Rolls-Royce, General Electric, Boeing, Mitsubishi Heavy Industries, JCB, Dyson, and hospitals including Addenbrooke’s, Queen Elizabeth, King’s, John Radcliffe and Papworth. His teaching supports the next generation of engineers in addressing global challenges.
Explore Cambridge University's AI stethoscope study outperforming GPs in early heart valve disease detection, with implications for NHS and research careers.
University of Cambridge researchers unveil an AI stethoscope outperforming GPs in detecting valvular heart disease, offering hope for the UK's silent epidemic with 98% accuracy for severe cases.