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Stroke, a critical medical emergency, necessitates swift attention due to its interruption of blood supply to the brain.Early and accurate diagnosis is pivotal in its management.This study proposes an expert artificial intelligence (AI) system to aid in the early diagnosis and management of stroke, addressing the challenges associated with the disease.The system, implemented as a web-based platform, employs human-like reasoning for diagnosis and offers interactive management suggestions.By utilising technologies such as MySQL, PHP, JAVA, HTML, XML, and CSS, the system is hosted on a web domain for easy access.Clinicians in Nigeria can potentially utilize this system to predict and differentiate between stroke types accurately.The system's ability to diagnose, learn from users, and provide reliable predictions offers significant advantages in stroke diagnosis.Upon diagnosis, results are immediately generated and emailed to users.This expert AI system presents a promising approach to enhance stroke management, offering timely and accurate support to healthcare professionals.
Agenmonmen et al. (Mon,) studied this question.
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