Considerations When Leveraging AI For Preventative Healthcare

Before the advent of artificial intelligence (AI) and machine learning (ML) in healthcare, life expectancy predictions largely relied on manual interpretations of population and demographic health trends and statistical models. These prediction methods, while helpful, offered more generalized analysis, rather than personalized insights.The traditional model was typically followed by reactive care approaches, which involve addressing symptoms after they appear, rather than administering preventative care by delving into the root causes of health issues. The holistic approaches deployed prior to the emergence of health technology have value, but they did not offer the same level of precision that health technology can now provide for individualized predictions and personalized care. Because of this, healthcare professionals could miss opportunities for early intervention.