An artificial intelligence (AI) algorithm that can detect subtle brain abnormalities that cause epileptic seizures has been developed by researchers. This is particularly important, because if doctors can find the abnormality in the brain scan, then surgery to remove it can provide a cure. This important information came to us from EurekAlert! in their article, “AI algorithm that detects brain abnormalities could help cure epilepsy.”
The future of standard medical practice might be here sooner than anticipated. While some algorithms can compete with and sometimes outperform clinicians in a variety of tasks, they have yet to be fully integrated into day-to-day medical practice.
Similar to how doctors are educated through years of medical schooling, doing assignments and practical exams, receiving grades and learning from mistakes, AI algorithms also must learn how to do their jobs. Generally, the jobs AI algorithms can do are tasks that require human intelligence to complete.
Even with this advancement, most organizations have little knowledge on how AI systems make the decisions they do, and as a result, how the results are being applied in the various fields that AI and machine learning are being applied. Explainable AI is used to describe an AI model, its expected impact and potential biases. We are the intelligence and the technology behind world-class explainable AI solutions.
Melody K. Smith
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Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.
