Watson progress

robert bell rmsbell200 at YAHOO.COM
Thu Sep 7 19:39:58 UTC 2017


Research is also never completely wasted and there is much that is never divulged initially that can be used in other ways or leads to contacts and information sources that make a subsequent project successful.

With the 10 year moon shot endeavor there were numerous discoveries that led to products and patents in the years to follow. If we had not put the astronauts on the moon we would have still had all that discovery/invention.

Rob Bell M.D.
> On Sep 7, 2017, at 10:17 AM, Tom Benzoni <benzonit at GMAIL.COM> wrote:
> 
> There is a third explanation, not to be lightly tossed out.
> Health care might be really tough.
> It just seems easy after the fact.
> 
> Your car is running roughly, poor performance and mileage.
> On presentation at the mechanic's, you're told "$50."
> Sounds good; you've wasted more than that on gas. You agree.
> 
> She reaches under the hood and switches 2 spark plug wires.
> "$50, please."
> You feel cheated; it was too easy.
> 
> It's always easy after the fact.
> 
> tom
> 
> 
> On Thu, Sep 7, 2017 at 9:54 AM, Jackson, Brian <brian.jackson at aruplab.com <mailto:brian.jackson at aruplab.com>> wrote:
> It really is astounding just how badly the big tech companies keep bungling their investments in healthcare.  GoogleHealth and Microsoft’s personal health records were both a flop. Google also wasted an enormous amount of money pursuing contact lens-based glucose monitors, despite decades-old research showing that glucose levels in tear fluid is way too variable to be useful for medical monitoring. GE spent a very long time, and billions of $, trying to corner the market in healthcare IT before admitting defeat.
> 
>  
> 
> This is definitely not for lack of technical capability.  Watson is technologically amazing for what it was designed to do; beating Ken Jennings was a mind-boggling moonshot sort of accomplishment.  And self-driving cars – that’s a crazy-hypercomplicated application.  IBM, Google, etc. have a constant stream of computer science PhDs flowing to them from MIT, CalTech, Stanford, and Harvard.  They can do stuff by brute force that we could barely imagine.  But they keep biting off the wrong healthcare problems to work on.  I don’t know if it’s because their management doesn’t really understand healthcare, or because they partner up with clinicians who don’t really understand the abilities and limitations of machine learning, or some other combination of issues.  But it’s been frustrating to watch this play out from the sidelines.
> 
>  
> 
> --Brian Jackson
> 
>  
> 
> From: Jason Maude [mailto:jason.maude at ISABELHEALTHCARE.COM <mailto:jason.maude at ISABELHEALTHCARE.COM>] 
> Sent: Thursday, September 07, 2017 3:14 AM
> To: IMPROVEDX at LIST.IMPROVEDIAGNOSIS.ORG <mailto:IMPROVEDX at LIST.IMPROVEDIAGNOSIS.ORG>
> Subject: Newsletter / Marketing: [IMPROVEDX] Watson progress
> 
>  
> 
> STAT has just published the most thorough and authoritative (and longest!) article on the current state of Watson. Not surprisingly, it’s not (yet) lived up to the marketing hype and proving more difficult to train and implement than thought.
> 
> https://www.statnews.com/2017/09/05/watson-ibm-cancer/ <https://clicktime.symantec.com/a/1/saRlXJyq3ZVleqWUrxkPIdzbCZ8twpAagqm4TzASsT8=?d=O6K66vqQtR851Ld2opwqtDOdPVyjy6-vTcHk84yhsO_Gx-irpDgvVf4o65IpRSnuJO2c8GAAwJOcve2ws8R9BUvlVmZKdbAGhccFBNYMwFtSc4vJ_STQ7pJg9xfAI81pukccwfmX-2yqw9Xdk8_PvGm_ckhZGKoBy51fcrWSQ0LVR7SYDGbisk4Q1vj1ahx9pL1_wQBBdeH2V5rF3NbG0y6YhN68pE_XisRJlxoM_rjVI6hcAZ4u7RkzqpLJ4Sc1v3Ln4xcMzfeBPvSTG5hD-p-N0KVNU3iPUTiA5vzQ2xwb2NU0OEbVjp6DZIoV26k1pYsNi_DBD78IpoL88KIvVya4o4y2yaV7F8NL4LdfCmnhnnqkEW_rji-GWYUuh9CBV7gU5-IyGhDC6HP8fglJQFWjdyg%3D&u=https%3A%2F%2Fwww.statnews.com%2F2017%2F09%2F05%2Fwatson-ibm-cancer%2F>
>  
> 
> Regards
> 
> Jason
> 
>  
> 
> Jason Maude
> 
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Moderator: David Meyers, Board Member, Society to Improve Diagnosis in Medicine


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