Artificial Intelligence in Healthcare: Improving Diagnosis, Treatment, and Patient Care

Hira Nawaz

doi:10.71146/kjmr1017

Authors

Hira Nawaz Department of Health Sciences, University of Lahore, Pakistan Author

DOI:

https://doi.org/10.71146/kjmr1017

Keywords:

Artificial Intelligence, Healthcare Innovation, Medical Diagnosis, Personalized Treatment, Patient Care

Abstract

Artificial Intelligence (AI) has emerged as a transformative technology in healthcare by improving diagnostic accuracy, treatment planning, clinical decision-making, and patient-centered care. The integration of machine learning, deep learning, natural language processing, and predictive analytics has enabled healthcare systems to analyze complex medical data and generate meaningful insights for physicians and patients. AI-based diagnostic systems assist healthcare professionals in detecting diseases at early stages through medical imaging analysis, laboratory data interpretation, and predictive modeling. Furthermore, AI contributes to personalized medicine by recommending treatment strategies based on individual patient characteristics, genetic information, and medical histories. The application of AI-powered tools in patient monitoring, virtual healthcare assistance, and clinical workflow optimization has enhanced healthcare accessibility and efficiency. However, challenges related to data privacy, algorithmic bias, ethical concerns, and regulatory frameworks remain significant barriers to widespread adoption. This research explores the role of Artificial Intelligence in healthcare, focusing on its contributions to diagnosis, treatment improvement, and patient care enhancement. The study highlights future opportunities for developing responsible and human-centered AI solutions that support healthcare professionals and improve global health outcomes.

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