Leveraging AI in Clinical Diagnosis: A Paradigm Shift in Medical Decision-Making
Keywords:
Mobile application, Instagram, Google meet and Speaking accuracy, Integration, Artificial Intelligence (AI), Clinical diagnosis, healthcare professionalsAbstract
The integration of Artificial Intelligence (AI) in clinical diagnosis heralds a significant shift in medical decision-making, enhancing diagnostic accuracy and efficiency while introducing new ethical and operational challenges. This review delves into the latest advancements, applications, and implications of AI in clinical diagnostics, discussing its potential to transform healthcare practices.
References
A. L. Beam, I. S. Kohane (2018) Big Data and Machine Learning in Health Care. 319(13), 1317–1318. https://doi.org/10.1001/jama.2017.18391
D. S. Char, N. H. Shah, D. Magnus (2018) Implementing Machine Learning in Health Care — Addressing Ethical Challenges. 981-983. https://doi.org/10.1056/NEJMp1714229
A. Esteva, B. Kuprel, R. A. Novoa, J. Ko, S. M. Swetter, H. M. Blau, S. Thrun (2019) Dermatologist-level classification of skin cancer with deep neural networks. 542(7639), 115–118. https://doi.org/10.1038/nature21056
F. Jiang, Y. Jiang, H. Zhi, Y. Dong, H. Li, S. Ma, Y. Wang, Q. Dong, H. Shen, Y. Wang (2017) Artificial intelligence in healthcare: past, present and future. 2(4), 230-243. https://doi.org/10.1136/svn-2017-000101
Z. Obermeyer, E. J. Emanuel (2016) Predicting the Future — Big Data, Machine Learning, and Clinical Medicine. 375, 1216-1219. https://doi.org/10.1056/NEJMp1606181
P. Rajpurkar, J. Irvin, K. Zhu, B. Yang, H. Mehta, T. Duan, D. Ding, A. Bagul, C. Langlotz, K. Shpanskaya, M. P. Lungren, A. Y. Ng (2018) CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning. https://arxiv.org/abs/1711.05225
E. J. Topol (2019) High-performance medicine: the convergence of human and artificial intelligence. 25, 44–56. https://doi.org/10.1038/s41591-018-0300-7
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Authors and Global Journals Private Limited
This work is licensed under a Creative Commons Attribution 4.0 International License.
