Predict Heart Failure Using AI and Science – An IBM Initiative
Everyone is well aware of the reach, requirement, and usability of Artificial Intelligence-based systems where computer/machine(s) can be used to predict what the human brain can not. We already talked about the better results by using the AI system (Read about Usage of AI in Google Lens).
Since the last decade or so, we have seen that the health sector has been highly influenced by the usage of technology. We have seen many giants coming up in this genre (Eg. United Health Group is one of many). And recently, we got to know about IBM’s initiative comprising AI for health prediction. National Institutes of Health (NIH) grant, a team of scientists at IBM Research partnered with scientists from Sutter Health and clinical experts from Geisinger Health System.
They research the usage of the artificial intelligence-based system to study and predict heart failure based on the hidden clues and information available in electronic health records. Often it is seen that most people are diagnosed with heart-related issues after an acute event. So in order to predict it earlier, IBM did this initiative. Today, the medical field works on the basis of symptoms and signs (especially in heart-related issues at pre-stages). With artificial intelligence and machine learning, it is all about analyzing EHR (Electronic Health Record) for existing patients and creating data-set while analyzing the patterns. Once the dataset gets big enough, it is then on the basis of neural logic and mapping to analyze other records.
This would enable doctors to predict heart-related issues approximately one year before actual acute events to diagnose. The IBM initiative led to many interesting findings which included both expected and unexpected results but it does prove that Artificial Intelligence does have a big scope of application in the health sector. We hope that IBM does invest more in artificial intelligence research and come up with better applications and proofs-of-concept.