Deep Medicine

Deep Medicine: How AI Can Make Healthcare Human Again
Eric Topol

Summary

A fascinating account of how AI is going to shape the future of healthcare. Also does a great job of explaining how AI really works

Rating: 4/5

Notes

Deep learning will involve pattern recognition and machine learning for diagnosis but also other applications like at home monitoring

Deep empathy and connection b/w patients and clinicians

Superficial contact w/ doctors and patients promotes incorrect diagnosis and the need for unnecessary tests/treatments

Screening programs over diagnose breast, prostate and thyroid cancer with increased incidence but no change in mortality

Physicians don’t know who will respond to treatment

System 1 thinking is automatic, intuitive, effortless. System 2 is slow, reflective, analytical

Don’t filter the data too early

Developing AI is all about inputs and outputs

New Apple watch 4 is not what it seems to be for ECGs

Computers today can perform specific tasks very well, but when it comes to general tasks, AI can’t compete with a human child

Machines lack of understanding cannot be emphasized enough

AI papers on medicine haven’t been published in top peer reviewed scientific journals and still need to undergo the expert review process (no prospective analysis as well, all retrospective)

Any mismatch in AI, medicine can lead to hundreds of people dying

Blackbox AI is still yet to be understood

Bias is built into every AI algorithm

21st century medicine is increasingly aiming to to upgrade the healthy rather than help the poor

No tech company is tracking its own adherence to ethical guidelines

AI can now predict the timing of a patient’s death with pretty good accuracy

An algorithm could better map more genes related to autism

***

Buy the book here

Free E-book download here

Make Something Wonderful   
Steve Jobs         

Summary

The life of Steve Jobs in his own words

Rating: 5/5

Notes

Make something wonderful and put it out there

‘You appear, have a chance to blaze in the sky, then you disappear’

When you’re a stranger in a place, you notice thing you don’t otherwise (Jobs after India trip)

Whenever you start with nothing, always shoot for the moon. You have nothing to lose.

You never achieve what you want without falling on your face a few times

Never be afraid to fail. You never achieve what you want without falling flat on your face a few times

We are never taught to listen to our intuitions, to develop and nurture them. But if you do pay attention to these subtle insights, you can make them come true

Creativity equals connecting previously unrelated experiences and insights others don’t see

Believe that some of what you follow with your heart will come back and make your life richer. And it will. And you will gain even firmer trust on your instincts and intuitions

Make your avocation your vocation. Make what you love your work.

The journey is the reward. The reward isn’t in the pot of gold at the end of the rainbow, it’s in crossing the rainbow

To find A+ talent, if experienced, look at their track record and results

The world we know is a human creation and we can push it forward

The people who are crazy enough to think they can change the world are the ones who do (read whole ad ‘here’s to the crazy ones)

We are what we repeatedly do. Excellence then is not an act but a habit - Aristotle

Hire people better than you are

You can’t plan to meet the people who will change your life

It’s impossible to connect the dots looking forward, but they make sense looking backwards so you have to trust the dots will somehow connect in your future

Everything around you that you call life was made up by people no smarter than you

***

Buy the book here

Free E-book download here

Deep Medicine

Notes and Quotes
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Deep Medicine: How AI Can Make Healthcare Human Again
Eric Topol

Summary

A fascinating account of how AI is going to shape the future of healthcare. Also does a great job of explaining how AI really works

Rating: 4/5

Notes

Deep learning will involve pattern recognition and machine learning for diagnosis but also other applications like at home monitoring

Deep empathy and connection b/w patients and clinicians

Superficial contact w/ doctors and patients promotes incorrect diagnosis and the need for unnecessary tests/treatments

Screening programs over diagnose breast, prostate and thyroid cancer with increased incidence but no change in mortality

Physicians don’t know who will respond to treatment

System 1 thinking is automatic, intuitive, effortless. System 2 is slow, reflective, analytical

Don’t filter the data too early

Developing AI is all about inputs and outputs

New Apple watch 4 is not what it seems to be for ECGs

Computers today can perform specific tasks very well, but when it comes to general tasks, AI can’t compete with a human child

Machines lack of understanding cannot be emphasized enough

AI papers on medicine haven’t been published in top peer reviewed scientific journals and still need to undergo the expert review process (no prospective analysis as well, all retrospective)

Any mismatch in AI, medicine can lead to hundreds of people dying

Blackbox AI is still yet to be understood

Bias is built into every AI algorithm

21st century medicine is increasingly aiming to to upgrade the healthy rather than help the poor

No tech company is tracking its own adherence to ethical guidelines

AI can now predict the timing of a patient’s death with pretty good accuracy

An algorithm could better map more genes related to autism

***

Buy the book here

Free E-book download here