Artificial intelligence (AI) has the potential to revolutionize the field of medical diagnostics and research. A new study has found that AI could be used to help detect risk signs and possibly even prevent sudden cardiac death. According to Phil Siegel, the founder of the Center for Advanced Preparedness and Threat Response Simulation, AI has the ability to identify patterns and correlations that humans might struggle to see, especially when they require two or more factors or have seemingly contrarian conclusions. Siegel’s comments come after the results of preliminary research by the American Health Association, which found that AI was able to identify people who were at more than a 90% risk of sudden death.
The study analyzed medical information using AI by using registries and databases of 25,000 people who had died from sudden cardiac arrest and 70,000 more people from the general population. The AI then analyzed the data gathered with personalized health factors to identify people at “very high risk of sudden cardiac death.” Additionally, researchers created personalized risk equations for individuals by plugging in data for the treatment of high blood pressure, history of heart disease and behavior disorders such as alcohol abuse.
Christopher Alexander, the chief analytics officer of Pioneer Development Group, also lauded AI’s ability to cut through data to help in medical diagnostics, stating that such tools are “useful for medical diagnosis or research because of its ability to do pattern recognition.” Alexander highlighted the fact that AI can look at millions of disparate data points and find connections that a human analyst may miss, potentially saving lives. In fact, he mentioned that there is voice monitoring software powered by AI that can note a tightening of the vocal cords, which typically means a heart attack is imminent.
However, amidst the optimism for the use of AI in medical applications, Siegel also cautioned that developers will have to be careful to ensure that the sample isn’t biased or that the data is accurate. He stressed that the challenge of using AI for good lies in ensuring that the data and models are complete, accurate, and unbiased, or else they might make things worse instead of better. Nonetheless, Siegel believes that AI has the potential to help doctors make earlier, better, and more helpful diagnoses.
In conclusion, the potential for AI in the field of healthcare is promising, as it has the ability to analyze large amounts of data and identify patterns that may lead to better medical diagnoses and even prevent sudden cardiac death. However, careful consideration and attention to the quality and accuracy of data are essential to ensure the responsible and effective use of AI in healthcare.