Robot MD: How artificial intelligence promises to revolutionize medical diagnosis

When it comes to medical ailments and their diagnosis, time is absolutely of the essence. The sooner we’re aware of a developing condition, the better chance we have of treating and ultimately overcoming it. Lately we’re seeing how artificial intelligence is poised to play a greater and greater role in detecting tell-tale signs of disease long before doctors can, with potentially life-saving ramifications.

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New AI’s from link

Accurately predict acute kidney injury 48 hours ahead of our current best diagnosis methods.

A new kind of AI-assisted electrocardiogram (ECG) that could pick up on left ventricular dysfunction, a difficult-to-detect condition that is a major precursor to heart failure.

The new AI searches through heart scans for signs of atrial fibrillation, or abnormal heartbeat rhythm, which is associated with heightened risk of stroke, heart failure and death.

AI Scholar, which then helped radiologists work through CT scans at triple the speed, while helping reduce the rate of missed cancer diagnoses by around 50 percent.

Google’s AI for lung cancer diagnosis proves more accurate than radiologists in early trial

Ovarian cancer is another area where AI has shown exciting potential

Back in May, meanwhile, MIT scientists tuned this type of technology to breast cancer, training a deep learning algorithm on thousands of mammograms to produce an AI system that could predict breast cancer risks more accurately than current models

Tau.Neutrino said:

New AI’s from link

Accurately predict acute kidney injury 48 hours ahead of our current best diagnosis methods.

A new kind of AI-assisted electrocardiogram (ECG) that could pick up on left ventricular dysfunction, a difficult-to-detect condition that is a major precursor to heart failure.

The new AI searches through heart scans for signs of atrial fibrillation, or abnormal heartbeat rhythm, which is associated with heightened risk of stroke, heart failure and death.

AI Scholar, which then helped radiologists work through CT scans at triple the speed, while helping reduce the rate of missed cancer diagnoses by around 50 percent.

Google’s AI for lung cancer diagnosis proves more accurate than radiologists in early trial

Ovarian cancer is another area where AI has shown exciting potential

Back in May, meanwhile, MIT scientists tuned this type of technology to breast cancer, training a deep learning algorithm on thousands of mammograms to produce an AI system that could predict breast cancer risks more accurately than current models

Oops wrong thread

cont

The team found that the AI tool was able to correctly predict social outcomes 83 percent of the time in patients who were at high-risk of psychosis, and 70 percent of the time when predicting the onset of depression.

In November last year, an international team of scientists published a study detailing a new AI system that could detect the onset of Alzheimer’s up to six years earlier than current diagnostic methods.

Future AI’s are being developed for skin cancers, life expectancy, height and bone density

opps for the oops

I should have used AI

opps for the oops

I should have used AI

> The team found that the AI tool was able to correctly predict social outcomes 83 percent of the time in patients who were at high-risk of psychosis, and 70 percent of the time when predicting the onset of depression.

I’ve known a specific case where a team of psychiatrists, psychologists, police and social workers all failed to correctly identify dangerous psychosis.

I don’t hold out any hope for an AI tool in such circumstances.

> The new AI searches through heart scans for signs of atrial fibrillation, or abnormal heartbeat rhythm, which is associated with heightened risk of stroke, heart failure and death.

Ha, i have yet to meet anyone who doesn’t have occasional atrial fibrillation. I’ve had it since at least my 20s, and genetics say that i have a lower than average risk of stroke, heart failure and early death.

Oh, and pacemakers don’t help.