Tag: big data
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Weekly digest (19-23 Jul 2021)
Khetpal, V., & Shah, N. (2021, May 28). How a largely untested AI algorithm crept into hundreds of hospitals. Fast Company. The use of algorithms to support clinical decision-making isn’t new. But historically, these tools have been put into use only after a rigorous peer review of the raw data and statistical analyses used to…
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Comment: For a Longer, Healthier Life, Share Your Data
There are a number of overlapping reasons it is difficult to build large health data sets that are representative of our population. One is that the data is spread out across thousands of doctors’ offices and hospitals, many of which use different electronic health record systems. It’s hard to extract records from these systems, and…
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Comment: Why AI is a threat to democracy—and what we can do to stop it
The developmental track of AI is a problem, and every one of us has a stake. You, me, my dad, my next-door neighbor, the guy at the Starbucks that I’m walking past right now. So what should everyday people do? Be more aware of who’s using your data and how. Take a few minutes to…
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The Desperate Quest for Genomic Compression Algorithms
While it’s hard to anticipate all the future benefits of genomic data, we can already see one unavoidable challenge: the nearly inconceivable amount of digital storage involved. At present the cost of storing genomic data is still just a small part of a lab’s overall budget. But that cost is growing dramatically, far outpacing the…
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How to ensure safety for medical artificial intelligence
When we think of AI, we are naturally drawn to its power to transform diagnosis and treatment planning and weigh up its potential by comparing AI capabilities to those of humans. We have yet, however, to look at AI seriously through the lens of patient safety. What new risks do these technologies bring to patients,…
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a16z Podcast: Putting AI in Medicine, in Practice
A wide-ranging conversation on several different aspects of AI in medicine. Some of the key takeaways for me included: AI (in it’s current form) has some potential for long-term prediction (e.g. you have an 80% chance of developing diabetes in the next 10 years) but we’re still very far from accurate short-term prediction (e.g. you’re…
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I enjoyed reading (September)
I’m going to be presenting at The Network: Towards Unity for Health conference in Fortaleza, Brazil later this year and so my reading has largely been focused around what I’m thinking of talking about. I haven’t formalised the structure of the presentation yet but will probably publish it here as I figure out what I…