transformative technology in healthcare, promising to
revolutionize various aspects of medical practice. is
literature review examines the current applications,
beneĕts, and challenges of AI in healthcare, based on
recent peer-reviewed articles. e review aims to
provide a comprehensive understanding of how AI is
enhancing healthcare delivery and what future
developments might hold.
Amisha, Malik, P., Pathania, M., & Rathaur, V. K.
(2019). Overview of artiĕ cial intelligence in
medicine. Journal of Family Medicine and Primary
Care, 8(7), 2328-2331.
Implementing machine learning in health care —
addressing ethical challenges. New England Journal
of Medicine, 378(11), 981-983.
for artiĕ cial intelligence in healthcare. Future
Healthcare Journal, 6(2), 94-98.
V., DePristo, M., Chou, K., … & Dean, J. (2019). A
guide to deep learning in healthcare. Nature
Medicine, 25(1), 24-29.
(2019). Cardiologist-level arrhythmia detection and
classiĕ cation in ambulatory electrocardiograms
using a deep neural network. Nature Medicine,
25(1), 65-69.
(2019). e practical implementation of artiĕcial
intelligence technologies in medicine. Nature
Medicine, 25(1), 30-36.
Wang, Y. (2017). Artiĕcial intelligence in healthcare:
past, present and future. Stroke and Vascular
Neurology, 2(4), 230-243.
Shameer, K., Miotto, R., Ali, M., … & Dudley, J. T.
(2018). Artiĕcial intelligence in cardiology. Journal
of the American College of Cardiology, 71(23),
2668-2679.
(2019). Molecular testing guideline for selection of
lung cancer patients for treatment with targeted
tyrosine kinase inhibitors: guideline from the
College of American Pathologists, International