Input keywords, title, abstract, author, affiliation etc..
Journal Article An open access journal
Journal Article

Artificial Intelligence in Healthcare: Improving Diagnosis and Treatment

by Hisham Ibrahim 1,*
1
Cairo University
*
Author to whom correspondence should be addressed.
JGSR  2020 2(1):5; https://doi.org/10.xxxx/xxxxxx
Received: 20 March 2020 / Accepted: 1 June 2020 / Published Online: 30 June 2020

Abstract

Artificial Intelligence (AI) is transforming healthcare by improving the accuracy and efficiency of diagnosis and treatment. This paper explores the significance of AI in healthcare, emphasizing its role in medical image analysis, predictive analytics, and personalized medicine. It delves into various aspects, including machine learning algorithms, electronic health records (EHRs), and telemedicine applications. The discussion includes the benefits of AI in healthcare, such as early disease detection, reduced medical errors, and improved patient outcomes. Moreover, the paper addresses the challenges and considerations in implementing AI in healthcare, including data privacy, regulatory compliance, and ethical concerns. Through a review of healthcare AI applications and research studies, the study highlights the positive outcomes associated with the adoption of AI in healthcare, including enhanced patient care and healthcare system efficiency.


Copyright: © 2020 by Ibrahim. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Share and Cite

ACS Style
Ibrahim, H. Artificial Intelligence in Healthcare: Improving Diagnosis and Treatment. Journal of Globe Scientific Reports, 2020, 2, 5. doi:10.xxxx/xxxxxx
AMA Style
Ibrahim H. Artificial Intelligence in Healthcare: Improving Diagnosis and Treatment. Journal of Globe Scientific Reports; 2020, 2(1):5. doi:10.xxxx/xxxxxx
Chicago/Turabian Style
Ibrahim, Hisham 2020. "Artificial Intelligence in Healthcare: Improving Diagnosis and Treatment" Journal of Globe Scientific Reports 2, no.1:5. doi:10.xxxx/xxxxxx

Article Metrics

Article Access Statistics

References

  1. Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115-118.
  2. Gulshan, V., Peng, L., Coram, M., Stumpe, M. C., Wu, D., Narayanaswamy, A., ... & Kim, R. (2016). Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. JAMA, 316(22), 2402-2410.
  3. Haenssle, H. A., Fink, C., Schneiderbauer, R., Toberer, F., Buhl, T., Blum, A., ... & Tschandl, P. (2018). Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists. Annals of Oncology, 29(8), 1836-1842.
  4. Topol, E. J. (2019). High-performance medicine: the convergence of human and artificial intelligence. Nature Medicine, 25(1), 44-56.
  5. Wang, F., Casalino, L. P., Khullar, D., & Deep, S. (2018). Deep learning in medicine—promise, progress, and challenges. JAMA Internal Medicine, 178(6), 734-735