ARTIFICIAL INTELLIGENCE IN MEDICINE: NEW OPPORTUNITIES IN DIAGNOSIS AND TREATMENT
DOI:
https://doi.org/10.55640/Keywords:
Artificial intelligence, diagnosis, medical technologies, algorithms, healthcare, digital medicine.Abstract
This article analyzes the application of artificial intelligence (AI) technologies in medicine, particularly their effectiveness in diagnostic and therapeutic processes. Based on globally recognized scientific studies and literature, the capabilities, advantages, and challenges of AI are presented. The impact of AI on medical ethics and its future prospects are also discussed.
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References
1. Esteva, A. et al. (2019). A guide to deep learning in healthcare. Nature Medicine, 25, 24–29.
2. Rajpurkar, P. et al. (2017). CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning. arXiv preprint.
3. Topol, E. (2019). Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again.
4. Nature (2020). International evaluation of an AI system for breast cancer screening. Nature, 577, 89–94.
5. IBM Watson Health. “Watson for Oncology”. IBM official website.
6. DeepMind Technologies. “AI for Eye Disease Detection”. DeepMind official website.
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This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.
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