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New research could help heart patients in Ohio

Research involving artificial intelligence and GPUs is creating new methods to predict heart failure in an individual. Researchers from Georgia Tech and Sutter Health analyzed the records of 3,884 Sutter patients who had heart failure. They then compared them to the records of almost 29,000 people who were healthy. Data was analyzed through a process called deep learning, which allows the computer to find patterns and other insights without the need for an expert to tell it what to look for.

Usually, patients are not diagnosed with the condition until after they arrive in the emergency room. According to the American Heart Association, an estimated 23 million people worldwide experience heart failure each year. Roughly 6 million of those are Americans.

Heart failure occurs when the heart becomes weak and is unable to pump blood around the body as needed. Half of those who are diagnosed die from the condition within five years. However, if it is possible to predict the possibility of heart failure in a patient soon enough, it could change the outcome. This could be done by recommending lifestyle changes in addition to prescribing medication.

Not every failure to diagnose constitutes a medical error. It must be found that the health care practitioner or facility in question failed to exhibit the requisite standard of care. Medical malpractice attorneys representing plaintiffs will attempt to demonstrate this by reviewing a harmed patient's hospital records and obtaining the opinions of medical experts. If the attorney deems it advisable to proceed, a settlement could be sought before the case is tried.

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