AI-Driven Diagnostic Tools for Early Detection of Chronic Diseases: Leveraging Machine Learning for Enhancing Accuracy and Speed of Diagnostic Procedures
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Keywords

Diagnostic Tools
Chronic Diseases
Diagnostic Procedures
Treatment Recommendations

How to Cite

[1]
By Dr. Aïsha Diallo, “AI-Driven Diagnostic Tools for Early Detection of Chronic Diseases: Leveraging Machine Learning for Enhancing Accuracy and Speed of Diagnostic Procedures”, Journal of Bioinformatics and Artificial Intelligence, vol. 3, no. 2, pp. 213–236, Oct. 2023, Accessed: Nov. 12, 2024. [Online]. Available: https://biotechjournal.org/index.php/jbai/article/view/104

Abstract

Early detection of chronic diseases is paramount to facilitate their swift management and prevent their progression, thereby enhancing the quality of patients’ lives and improving their survival rates. However, the significant, growing numbers of individuals living with chronic illnesses are expected to pose a challenge to healthcare professionals in the future. In addition, identifying patients with chronic diseases, even before the onset of clinical symptoms, is critical to preventing and managing these chronic illnesses later. Diagnostic tools have evolved tremendously over time, but the advent of AI and machine learning has the potential to revolutionize them further and enhance physicians’ predictive capabilities.

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