Stanford computer diagnoses breast cancer more accurately than human doctor
1–10 of 52 posts
Re: Stanford computer diagnoses breast cancer more accurately than human doctor
#2Reminds me of a comment by _delirium a few days ago, in the "AI is killing jobs" thread:
dermatologists are fairly worried that "upload a photo and we'll diagnose your mole", either via software or outsourcing, will cut out a significant percentage of their business.
Re: Stanford computer diagnoses breast cancer more accurately than human doctor
#3"...but imagine if you had a C-Path machine in every town or city."
How near-sighted of the author. An article about computer vision, AI, machine learning, and no thoughts of tele-pathology or remote reading?
Re: Stanford computer diagnoses breast cancer more accurately than human doctor
#4"...but imagine if you had a C-Path machine in every town or city." How near-sighted of the author. An article about computer vision, AI, machine learning, and no thoughts of tele-pathology or remote reading?
hat tip
My thought was that such such a machine would basically have a built-in, automated biopsy thing. Like, the machine really would do everything from taking a biopsy, looking at the sample, and then diagnosing.
Tele-pathology is cool, but you still need to get the tissue sample somehow -- which I imagine is hard in a town/village without a hospital.
You could have some kind of automated biopsy unit that then sends data back to a central C-Path server, I guess.
Re: Stanford computer diagnoses breast cancer more accurately than human doctor
#5Reminds me of a comment by _delirium a few days ago, in the "AI is killing jobs" thread: dermatologists are fairly worried that "upload a photo and we'll diagnose your mole", either via software or outsourcing, will cut out a significant percentage of their business. http://news.ycombinator.com/item?id=3204466
Also announced today:
http://news.techeye.net/science/ai-used-to-hunt-dinosaur-bon...
those darn robots are everywhere!
Re: Stanford computer diagnoses breast cancer more accurately than human doctor
#6Reminds me of a comment by _delirium a few days ago, in the "AI is killing jobs" thread: dermatologists are fairly worried that "upload a photo and we'll diagnose your mole", either via software or outsourcing, will cut out a significant percentage of their business. http://news.ycombinator.com/item?id=3204466
[deleted]
Re: Stanford computer diagnoses breast cancer more accurately than human doctor
#7Reminds me of a comment by _delirium a few days ago, in the "AI is killing jobs" thread: dermatologists are fairly worried that "upload a photo and we'll diagnose your mole", either via software or outsourcing, will cut out a significant percentage of their business. http://news.ycombinator.com/item?id=3204466
Also announced today: http://news.techeye.net/science/ai-used-to-hunt-dinosaur-bon... those darn robots are everywhere!
"We may never have to dig again" -Dr. Grant, Jurassic Park
Re: Stanford computer diagnoses breast cancer more accurately than human doctor
#8You can learn from some of the experts in the field:
http://ai-class.com - Peter Norvig and Sebastian Thrun
http://ml-class.com - Andrew Ng
I signed up 4 weeks into Andrew's class. Both of these are excellent.
Btw, the technique in the article is a classification problem, right? :-)
Re: Stanford computer diagnoses breast cancer more accurately than human doctor
#9They kind of hint at it in the article, but sounds like automatic feature detection really helped here. That's really the future (or present): learning algos discovering better features automatically, significantly cutting down the labor involved in feature engineering. Pretty neat.
Here's a video talking about current research into this at Stanford: http://www.youtube.com/watch?v=ZmNOAtZIgIk&feature=youtu...
Re: Stanford computer diagnoses breast cancer more accurately than human doctor
#10Although he's not listed as an author, I find it interesting that Andrew Ng has been using "malignant or benign tumor" as an example of a machine learning classification problem at http://www.ml-class.org