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Machines Will See You Now
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Machines Will See You Now : A Human Roadmap to Autonomous Health Care

Book Details

Format Hardback or Cased Book
ISBN-10 1421455056
ISBN-13 9781421455051
Publisher Johns Hopkins University Press
Imprint Johns Hopkins University Press
Country of Manufacture GB
Country of Publication GB
Publication Date Oct 27th, 2026
Print length 272 Pages
Weight 522 grams
Dimensions 22.90 x 15.20 x 2.40 cms
Ksh 4,750.00
Not Yet Published 0 in stock

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How intelligent systems are redefining the human side of health care.

Health care stands on the precipice of extreme transformation. In The Machines Will See You Now, MIT-trained computer scientist and pioneering entrepreneur in digital health Anmol Madan explores how artificial intelligence, automation, and personalized data are reshaping the relationship between patients, providers, and technology. Madan envisions a world of "autonomous health," where machines and human doctors work in partnership, helping clinicians focus on empathy and human connection while machines take on the complexity of diagnostics, prediction, and prevention.

Through engaging case studies, Madan shows how data from sensors, wearables, and everyday devices can reveal insights that were once invisible, from early signs of depression to individualized responses to treatment. At the same time, he offers a realistic view of what these technologies can and cannot do. This book addresses the limits of machine perception, the risks of bias, and the urgent need for transparency as AI systems assume a greater role in health care.

Bolstered by lessons learned leading one of the first digital mental health companies, Madan illustrates how innovation succeeds only when grounded in human purpose, cultural understanding, and ethical design. The Machines Will See You Now is both a guide to the emerging era of automated medicine and a reflection on how technology can deepen, rather than diminish, the humanity at the heart of health care. It is essential reading for clinicians, technologists, and anyone who wants to understand the future of care in an age when machine capabilities are growing exponentially.


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