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How long until society becomes Gattaca? Sorry citizen our “AI” has detected genetic anomalies you will be a disposable factory worker. The rich would surely pay for their children to be genetically altered.
What exactly guarantees that reality? Why can't these tools be used for good moving forward? e.g. detecting heart problems. Seems a little arbitrary to spin technological advancements as progress towards some inevitable dystopian AI-driven future.
I'm going to sound like a skeptical jerk here, but 490,000 heartbeats is how many patients? From what I recall these public ECG datasets are like 20 patients who underwent longitudinal ECGs. 500k heart beats is like 5 person-days of ECG recordings. Ninja Edit: N=~30 patients. For something like ECGs which are readily available, they really should have tried to get more patients. A single clinic anywhere does than 30…
Its not that difficult.
Wasn't a similar claim made about an AI detecting skin cancer from moles? Once the AI was deployed in the real world is failed miserably. I think it was a ton of false-positives because it was trained on images where cancerous moles all had images of rulers with them and the benign ones didn't have rulers in the image. So it just picked up on the ruler as a cancer indicator.
It's got a lot of interesting applications for our field which I am excited about, but there seems to be a tendency among non-experts to consider it a magic bullet that can solve any sort of problem. In particular, I am concerned about applications where conventional approaches have already converged on an optimal solution that's used operationally, but somebody wants to throw AI at it because they thought it might be cool without first understanding the implications.
So first clarification is that heart failure != heart attack. Heart failure is a chronic condition where the heart is unable to pump hard enough to keep blood flowing through the body. Typically results in blood pooling in the leg, shortness of breath, etc. The study avoids the obvious pitfall, which is to put different slices of one patient's data into both training and test. The press also reports the training accu…
I'm going to sound like a skeptical jerk here, but 490,000 heartbeats is how many patients? From what I recall these public ECG datasets are like 20 patients who underwent longitudinal ECGs. 500k heart beats is like 5 person-days of ECG recordings. Ninja Edit: N=~30 patients. For something like ECGs which are readily available, they really should have tried to get more patients. A single clinic anywhere does than 30…
Basically, they took 18 electrocardiographic tracings (sampled at 128 Hz) from participants without CHF, of whom 13 come from women. They compared them to 15 electrocardiographic tracings (sampled at 250 Hz) from participants with CHF, of whom 4 come from women.
Hard to even know where to begin with this one.
last year we've started to cloud recording obstetric ultrasound videos. we add more than 17,000 ultrasound exams to our platform each month. It's probably the largest dataset in the world of obstetric ultrasounds videos (~ 300,000 exams). reading news like this makes me think about how we can explore our dataset using ML/AI and help produce better diagnosis. I have no idea how (We're not an AI company). If someone he…