A Nigerian-born researcher, Prof. Nchebe-Jah Iloanusi, who is based in the United States, has developed a groundbreaking artificial intelligence (AI) system capable of predicting depression before any visible symptoms appear.
The innovation, described by experts as a potential game-changer in mental health diagnostics, leverages machine learning models to analyze behavioral patterns, speech tone, and subtle biometric data to identify early signs of depression.
According to Prof. Iloanusi, the goal of the project is to revolutionize mental healthcare by enabling early intervention, especially for individuals who may not recognize or disclose their mental struggles.
“The earlier we can detect depressive tendencies, the better we can prevent severe episodes and save lives,” he said while unveiling the project at a tech and health symposium in California.
The AI system, which is currently undergoing clinical validation, has already shown a high degree of accuracy in detecting depression risk factors among test groups.
Health experts have lauded the breakthrough, noting that it could drastically reduce suicide rates and improve access to mental health support — especially in regions with limited psychiatric services.
Prof. Iloanusi, who hails from southeastern Nigeria, has been recognized for his work in neuroinformatics and AI-driven mental health research. He expressed optimism that the innovation will be adapted for use in Africa, where mental health awareness is still developing.
“Technology can help bridge the gap between mental health awareness and early diagnosis,” he added.
The development underscores the growing contribution of Nigerians in the global tech and health innovation space.
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