Applications of Artificial Intelligence in Medical and Applied Health Sciences

  • Tia James Manuera Department of Medical and Health Sciences, The University of Auckland, New Zealand
Keywords: Healthcare Technology, Artificial Intelligence (AI), Medical Diagnosis, Personalized Medicine, Remote Patient Monitoring

Abstract

Artificial Intelligence (AI) is transforming the landscape of healthcare by improving diagnostic accuracy, accelerating drug discovery, and enabling personalized medicine. With the ability to analyze vast amounts of medical data, AI supports clinicians in making faster and more accurate decisions. Applications include image-based disease detection, virtual assistants, remote patient monitoring through wearable devices, and hospital resource management. AI also contributes to preventive care by identifying potential health risks early. Despite its many advantages, challenges such as data privacy concerns, lack of human empathy, algorithmic bias, and high implementation costs remain significant barriers. Nevertheless, AI continues to offer promising solutions to healthcare inefficiencies, particularly in underserved or rural regions. As technology advances, the integration of AI in medicine is expected to grow, ultimately leading to more accessible, efficient, and personalized healthcare services.

Published
2025-07-25
How to Cite
Manuera, T. J. (2025). Applications of Artificial Intelligence in Medical and Applied Health Sciences. International Journal of Medical and Applied Health Science, 1(1), 1-7. https://doi.org/10.22034/ijmahs.v1i1.155
Section
Articles