AI-based stroke prediction could transform healthcare, Expert finds

A study has revealed that artificial intelligence can significantly improve stroke prediction, potentially reducing fatalities and long-term disabilities. This was discovered in research conducted by Elizabeth Ayodeji Adeyefa, a data scientist specialising in healthcare analytics.

“Stroke is a leading cause of death and disability worldwide, yet early detection remains a challenge,” Adeyefa stated. “Using AI to predict stroke risk can help doctors intervene before a major event occurs.”

The study employed the Random Forest machine learning model to analyse patient data and identify key risk factors associated with strokes. “We examined variables such as hypertension, heart disease, smoking habits, and glucose levels to predict the likelihood of a stroke,” Adeyefa explained.

Her findings indicate that individuals with high blood pressure, irregular glucose levels, and a history of smoking are at the highest risk. “Understanding these patterns allows us to develop targeted prevention strategies,” she noted.

The AI model demonstrated over 95% accuracy in predicting stroke occurrences. “This is a breakthrough because it allows for early medical intervention, reducing the burden on healthcare systems,” Adeyefa said.

Adeyefa emphasised the importance of incorporating AI-driven diagnostics into routine medical check-ups. “If hospitals integrate AI models into their patient assessments, we can identify high-risk individuals much earlier,” she stated.

However, she acknowledged challenges such as data quality and accessibility. “The effectiveness of AI in stroke prediction depends on high-quality data, which means improving electronic health record systems is crucial,” she added.

Her research also found disparities in stroke risk based on socio-economic factors. “Individuals in lower-income communities have higher stroke risks due to limited access to healthcare and lifestyle differences,” Adeyefa observed.

She urged policymakers to invest in AI-driven healthcare solutions, stating that “early stroke detection can save lives and reduce healthcare costs in the long run.”

With further advancements, AI could play a crucial role in preventing other life-threatening conditions. “We’re only scratching the surface of AI’s potential in healthcare. With continued research and investment, we can make significant strides in disease prevention,” Adeyefa concluded.