Etudiant : LABBOUJ MOHAMMED

Filière : LF Sciences Mathématiques et Informatique

Encadrant : Pr. BOUHOUTE AFAF

Annèe : 2024

Résumé : This report explores the transformative impact of disease diagnosis systems in modern healthcare. By using advanced technologies such as machine learning, those systems enable early detection and precise diagnosis. From head to feet, the system analyze vast datasets to empower healthcare domain with predictive insights, enhancing diagnostic efficiency. Despite challenges such as regulatory compliance and ethical considerations, the integration of these systems holds immense promise for proactive, patient-centric healthcare delivery. By optimizing resource allocation and reducing diagnostic errors, they have the potential to improve patient outcomes while mitigating healthcare costs. In conclusion, disease diagnosis systems signify a paradigm shift in healthcare, paving the way for a future where timely intervention and personalized care are standard practices, ultimately improving global health outcomes.