ARTIFICIAL INTELLIGENCE IN MEDISENSE: TRANSFORMING DIAGNOSTICS AND PATIENT CARE

Authors

  • Ayesha Khan Assistant Professor, Department of Computer Science, University of Punjab, Lahore, Pakistan.
  • Imran Ahmed Associate Professor, Department of Health Informatics, Aga Khan University, Karachi, Pakistan.

Keywords:

Artificial Intelligence, Medisense, Diagnostics, Patient Care

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in healthcare, particularly through platforms such as Medisense that integrate data-driven solutions with patient-centered care. AI-powered tools enable improved diagnostics, early detection of diseases, predictive analytics, and personalized treatment strategies. By leveraging machine learning algorithms and natural language processing, Medisense enhances physician decision-making while reducing errors in diagnosis. This article explores the application of AI in Medisense, its impact on patient care, challenges in implementation, and future directions for healthcare systems in Pakistan and beyond. The study also emphasizes the importance of ethical considerations, data privacy, and the need for robust regulatory frameworks

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Published

2024-12-31

How to Cite

Ayesha Khan, & Imran Ahmed. (2024). ARTIFICIAL INTELLIGENCE IN MEDISENSE: TRANSFORMING DIAGNOSTICS AND PATIENT CARE. World Journal of Medicine Evidence, 1(1), 1–9. Retrieved from https://wjme.net/index.php/journal/article/view/1