Her research, dubbed the HERMES study, is testing how AI algorithms can help predict the likelihood of cardiovascular disease based on what patients are saying and how they describe symptoms. This study will be evaluating outcomes based on patients who are going for a coronary angiogram, the gold standard in identifying blockages in the coronary arteries. These AI algorithms will develop over time and can be further refined with more data. The hope is that these algorithms will eventually lead to developing a lexicon that can help identify cardiovascular disease in women and men based on how they describe their symptoms.
From a medical standpoint, the implications of using linguistic AI algorithms are substantial. When calling 911 for help, based on how and what someone says, these AI algorithms may identify someone at high risk for a heart attack and can make appropriate triaging recommendation. Or conceivably, you can talk into your phone, and based on the lexicon of words being used, combined with your risk factor profile, your risk of cardiovascular disease can be accurately identified. These AI algorithms can be extended to other acute emergencies that need urgent intervention such as strokes.
While still in its infancy, AI can significantly change how we identify symptoms and diagnose patients. Thinking back to the patient I saw, I can’t help but think she would have benefited from this type of technology, which could have picked up that she was having a heart attack much earlier on. As we move forward, linguistic AI algorithms can be a very valuable tool to help doctors make accurate diagnoses so that patients can receive timely and appropriate treatment.
Source :- http://www.huffingtonpost.com/entry/can-artificial-intelligen_2_b_9798328.html?ir=Science§ion=india&utm_hp_ref=science