Research Article
The Power of AI-Assisted Diagnosis
@ARTICLE{10.4108/eetel.3772, author={}, title={The Power of AI-Assisted Diagnosis}, journal={EAI Endorsed Transactions on e-Learning}, volume={8}, number={4}, publisher={EAI}, journal_a={EL}, year={2023}, month={9}, keywords={AI, Diagnosis, Efficiency, Challenges}, doi={10.4108/eetel.3772} }- Year: 2023
The Power of AI-Assisted Diagnosis
EL
EAI
DOI: 10.4108/eetel.3772
Abstract
The rapid advancements in artificial intelligence (AI) have unleashed a wave of transformative technologies, and one area that has witnessed significant progress is AI-assisted diagnosis in healthcare. With the ability to analyze vast amounts of medical data, learn from patterns, and make accurate predictions, AI systems hold immense potential to revolutionize the diagnostic process, enabling earlier detection, improved accuracy, and personalized treatment recommendations. This review aims to explore the impact of AI in healthcare, specifically focusing on its role in assisting physicians with diagnosis, highlighting the benefits, challenges, and ethical considerations associated with the integration of AI systems into clinical practice. Through the utilization of AI's capabilities, the enhancement of patient outcomes, optimization of resource allocation, and the reshaping of medical professionals' approaches to diagnosis and treatment can be achieved.
Copyright © 2023 J-J. Wang et al., licensed to EAI. This is an open-access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
