Wednesday, September 8, 2021

g-f(2)479 THE BIG PICTURE OF THE DIGITAL AGE (9/8/2021), Inside Sources, Artificial Intelligence and the Humanization of Medicine


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"g-f" fishing of golden knowledge (GK) of the fabulous treasure of the digital age, Artificial Intelligence (9/8/2021)  g-f(2)426 

Opportunity, The future of healthcare is AI, Inside Sources
  • If you want to imagine the future of healthcare, you can do no better than to read cardiologist and bestselling author Eric Topol’s trilogy on the subject: “The Creative Destruction of Medicine,” “The Patient Will See You Now,” and “Deep Medicine.” 
  • “Deep Medicine” bears a paradoxical subtitle: “How Artificial Intelligence Can Make Healthcare Human Again.” The book describes the growing interaction of human and machine brains. Topol envisions a symbiosis, with people and machines working together to assist patients in ways that neither can do alone. In the process, healthcare providers will shed some of the mind-numbing rote tasks they endure today, giving them more time to focus on patients.
Opportunity, Three golden knowledge books, Inside Sources
  • The first of Topol’s books, “Creative Destruction,” described how technology would transform medicine by digitizing data on individual human beings in great detail.
  • In “The Patient Will See You Now,” he explored how this digital revolution can allow patients to take greater control over their own health and their own care. 
  • “Deep Medicine” is qualitatively different from the other two books. It has an almost-mystical quality. Intelligent machines engaging in AI and ML arrive at information in ways even their programmers can barely comprehend, if at all. 
    Opportunity, Golden knowledge examples, Inside Sources
    • Today, radiologists spend their days intuitively searching for patterns in x-rays, CT scans, and MRIs. In the future, much of the pattern-searching will be automated (and more accurate), and radiologists (who seldom interact with patients today) will have much greater contact with patients.
    • Today, dermatologists are relatively few in number, so much of the earlier stages of skin care are done by primary care physicians, who have less ability to determine, say, whether a mole is potentially cancerous. The result can be misdiagnosis, delayed diagnosis, and the unnecessary use of dermatologists’ time. In the future, primary care doctors will likely screen patients using smart diagnostic tools, thereby wasting less of patients’ and dermatologists’ time and diagnosing more accurately.
    Alert, Healthcare’s adoption of AI technologies is unduly slow, Inside Sources
    • Unfortunately, healthcare’s adoption of such technologies is unduly slow. Topol noted that we have around 150 medical schools, some quite new, and yet “they don’t have any AI or genomics essentially in their curriculum.”

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    Opportunity, Exceptional golden knowledge, Inside Sources
    • I recorded an interview with Topol in which we discuss his books. The podcast is titled “Healthcare’s Reluctant Revolution” because one of Topol’s themes is that healthcare is moving too slowly to integrate AI and machine learning (ML) into medicine—a sluggishness that diminishes the quality and quantity of available care.


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    • Category 2: The Big Picture of the Digital Age
    • [genioux fact deduced or extracted from Inside Sources]
    • This is a “genioux fact fast solution.”
    • Tag Opportunities those travelling at high speed on GKPath
    • Type of essential knowledge of this “genioux fact”: Essential Analyzed Knowledge (EAK).
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      • Inherited from sources + Supported by the knowledge of one or more experts.


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    ABOUT THE AUTHORS



    Robert F. Graboyes


    Robert Graboyes is a senior research fellow with the Mercatus Center at George Mason University, where he focuses on technological innovation in healthcare. He is the author of “Fortress and Frontier in American Health Care” and has taught health economics at five universities. He wrote this for InsideSources.com.


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