The current datasets are just labeled anatomy at end systole and diastole.
753 karma · joined May 15, 2012
davidm.crockett [at] utah.edu
The current datasets are just labeled anatomy at end systole and diastole.
It seems the primary way to detect regional wall motion abnormalities is with speckle tracking, which requires way too much post-processing for a clinician.
A system that segments the left ventricle and finds akinetic regions in realtime from a parasternal long axis view or an apical four chamber view would be pretty nifty.
If you know of a paper or system that does this now then please let me know. I would love for someone else to have solved this, haha.
My email is Davidm.Crockett [at] Utah.edu
There are many similarities between this man’s project and mine. And if I had his knowledge I may have cracked my problem by now and would have new way to detect heart attacks early.
We can’t however cure the virus. And if it progresses far enough then no amount of oxygen will save a patient. These cases are hard because we have to watch someone die without any means to save them. Doing cpr on a patient with covid can feel pointless. If the lungs do work then no amount of chest compressions, oxygen, and cardiac drugs will save that person.
Should a patient come in with a preference for a treatment they read about on PubMed (which has never occurred in my practice) then I would likely accommodate their preference unless I thought it would put them at serious harm. A patient knowing more than I do about a particular disease happens more than you’d expect, especially if they have a rare chronic disorder. This does not diminish my ego or confidence in my knowledge base.
For many ailments there are five or six different drugs suited for the job. Goodrx helps me pick the most affordable.
The bloat obscures critical information from other doctors. Patients are unable to read a meaningful account of their care, and are charged more for worse services.
- Vengeful and Vicious by VE Schwab - Collapsing Empire by Scalazi (late 2017, but close enough to 2018)
Not released in 2018, but still fun and new to me this year. - The Red Rising series by Pierce Brown
Indeed. We joke in our emergency department that patient’s die during Epic downtime. We aren’t really joking.
When a hospital switches to Epic, they do so because they know it will result in more money billed per patient. This justifies the outrageous price.
I’ve found other places in medicine to make software and have an impact.
That said, I truly hope you succeed. We need more hackers in medicine.
Some patient notes are a scan of a fax of a scan of a fax.
Hospitals are dangerous. You lose your sense of autonomy, are woken up throughout the night for blood draws or medication management, and are at risk for nomosocomial infection or delirium.
It’s an emotionally charged place and conflict between families and doctors happens often. Hard ethical questions happen. For instance a young man may come into the ED with massive polytrauma and require immediate blood transfusions to keep him alive. There’s a chance he would be the person to refuse a transfusion on religious grounds, and the family would be upset with our team for ‘violating his body’.
Because of situations like this, or the one described in the cnn article, ethic committees are an essential part of hospital care.
https://s3.us-east-2.amazonaws.com/sonogif/q0.mp4
Details:
I am an emergency physician. My peers and I love to share interesting ultrasounds with each other on twitter. We do this for medical education, and to see great cases.
Some examples -- https://twitter.com/buckeye_sanjay/status/963104781815484416 https://twitter.com/EMNSpeedofSound/status/96131521371385856...
One problem we face is that ultrasound videos contain protected patient information, such as their medical record number or date of birth. Because of this videos must be edited with desktop software prior to sharing.
In the past couple of months I started to teach myself ReactJS and thought it would be fun to attempt to create an in browser video editor that we docs could use to anonymize ultrasound clips. The end result is www.sonogif.com.
The app uses the canvas object overlayed on top of a video tag. To render, react creates a local .png file for each video frame. The png files are uploaded to an express server, which converts them into an mp4 file and gif file.
This keeps patient information local and prevents it from every being transmitted to my server.
Anyway, download this ultrasound file and try it out yourself!
https://cdn.arstechnica.net/wp-content/uploads/2018/01/muni-...