Humans explain their decisions with words. In our latest work, we suggest AI systems should do the same.
Explain yourself, machine. Producing simple text descriptions for AI interpretability.
The unreasonable usefulness of deep learning in medical image datasets
Medical data is horrible to work with, but deep learning can quickly and efficiently solve many of these problems.
Post-doc and PhD positions for deep and reinforcement learning in medical images
Our team has post-doc and PhD positions available, so come to unexpectedly great Adelaide!
The first AI disruption in medicine might not be radiology
The first doctors to feel the effects of automation might not be radiologists at all. It might be surgeons.
CheXNet: an in-depth review
Since the CheXNet paper came out in November 2017 I have been communicating with the author team. I'm finally ready to review the paper. Some of the things I found out surprised me.
The philosophical argument for using ROC curves
I just wanted to do a quick follow up to my recent blog post, which discussed the performance metrics I think might be appropriate for use in medical AI studies. One thing I didn't cover was the reason we might want to use multiple metrics, or the philosophy behind choosing the ones I did. So today, … Continue reading The philosophical argument for using ROC curves
2017 in review: progress, problems, and predictions
2017 was cool. Medical AI progressed apace, the AI community grew up some and got a bit creative, and I made some predictions that mostly held up to vague scrutiny.
Exploring the ChestXray14 dataset: problems
A couple of weeks ago, I mentioned I had some concerns about the ChestXray14 dataset. I said I would come back when I had more info, and since then I have been digging into the data. I've talked with Dr Summers via email a few times as well. Unfortunately, this exploration has only increased my concerns about the dataset.
Blog plans for 2018
I have been doing a fair bit of thinking about the blog, and wanted to clue you all in on some changes. I had intended to finish my "The End of Human Doctors" series before moving on to anything else, and I even let some really cool topics pass me by to maintain continuity. It … Continue reading Blog plans for 2018
Do machines actually beat doctors? ROC curves and performance metrics
Deep learning research in medicine is a bit like the Wild West at the moment; sometimes you find gold, sometimes a giant steampunk spider-bot causes a ruckus. This has derailed my series on whether AI will be replacing doctors soon, as I have felt the need to focus a bit more on how to assess … Continue reading Do machines actually beat doctors? ROC curves and performance metrics
