โก Quick Summary
This comprehensive review highlights the transformative role of Artificial Intelligence (AI) in healthcare, particularly in enhancing diagnostics, personalizing treatment, and improving operational efficiency. The study reveals a significant increase in AI-related healthcare publications, from 158 articles (3.54%) in 2014 to 731 articles (16.33%) by 2024, indicating a growing interest and application of AI technologies in the field.
๐ Key Details
- ๐ Study Period: 2014-2024
- ๐งฉ Key Technologies: AI, Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP)
- ๐ฅ Case Studies: Google Health, IBM Watson Health
- ๐ Publication Growth: From 158 articles to 731 articles in a decade
๐ Key Takeaways
- ๐ค AI is revolutionizing healthcare by enhancing diagnostic capabilities and personalizing treatment plans.
- ๐ Core applications include remote monitoring and predictive analytics, which improve operational efficiency.
- ๐ Challenges such as data security and resource limitations hinder widespread AI implementation.
- ๐ Ongoing research is essential for ethical and responsible AI integration in healthcare.
- ๐ก Multidisciplinary collaboration is crucial to navigate the evolving landscape of AI in healthcare.
- ๐ The rise of AI-related publications reflects a growing recognition of its potential in the healthcare sector.
- ๐บ๏ธ Stakeholders are encouraged to adapt to the changing demands of the healthcare environment.
๐ Background
The integration of Artificial Intelligence (AI) into healthcare marks a significant shift in how medical professionals approach diagnostics and treatment. With technologies such as machine learning and natural language processing, AI is not only enhancing the accuracy of diagnoses but also paving the way for more personalized treatment strategies. This review aims to provide a comprehensive overview of these advancements and their implications for the healthcare industry.
๐๏ธ Study
This review synthesizes data from the Web of Science over a decade, focusing on the impact of AI on healthcare. By analyzing recent literature and real-world case studies, the authors explore how AI technologies are being utilized in patient interactions, predictive analytics, and remote monitoring. The study also addresses the challenges faced in implementing these technologies, including data security concerns and resource limitations.
๐ Results
The findings indicate that AI is significantly enhancing the capabilities of healthcare professionals, improving diagnostic accuracy, and facilitating more individualized treatment plans. The steady increase in AI-related healthcare publicationsโfrom 158 articles in 2014 to 731 articles in 2024โdemonstrates the growing interest and investment in AI technologies. However, the study also highlights critical challenges that must be addressed for successful AI integration in healthcare.
๐ Impact and Implications
The integration of AI in healthcare has the potential to transform patient care and operational efficiency. By leveraging technologies such as predictive analytics and remote monitoring, healthcare providers can enhance patient engagement and streamline operations. However, the successful implementation of AI requires careful consideration of ethical practices and ongoing research to address the challenges posed by data security and resource constraints.
๐ฎ Conclusion
The review underscores the transformative potential of AI in healthcare, emphasizing the need for ethical and responsible use of these technologies. As the healthcare landscape continues to evolve, ongoing research, education, and multidisciplinary collaboration will be essential to harness the benefits of AI while mitigating associated risks. The future of healthcare looks promising with the responsible integration of AI technologies.
๐ฌ Your comments
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The Impact of Artificial Intelligence on Healthcare: A Comprehensive Review of Advancements in Diagnostics, Treatment, and Operational Efficiency.
Abstract
BACKGROUND AND AIMS: Artificial Intelligence (AI) beginning to integrate in healthcare, is ushering in a transformative era, impacting diagnostics, altering personalized treatment, and significantly improving operational efficiency. The study aims to describe AI in healthcare, including important technologies like robotics, machine learning (ML), deep learning (DL), and natural language processing (NLP), and to investigate how these technologies are used in patient interaction, predictive analytics, and remote monitoring. The goal of this review is to present a thorough analysis of AI’s effects on healthcare while providing stakeholders with a road map for navigating this changing environment.
METHODS: This review analyzes the impact of AI on healthcare using data from the Web of Science (2014-2024), focusing on keywords like AI, ML, and healthcare applications. It examines the uses and effects of AI on healthcare by synthesizing recent literature and real-world case studies, such as Google Health and IBM Watson Health, highlighting AI technologies, their useful applications, and the difficulties in putting them into practice, including problems with data security and resource limitations. The review also discusses new developments in AI, and how they can affect society.
RESULTS: The findings demonstrate how AI is enhancing the skills of medical professionals, enhancing diagnosis, and opening the door to more individualized treatment plans, as reflected in the steady rise of AI-related healthcare publications from 158 articles (3.54%) in 2014 to 731 articles (16.33%) by 2024. Core applications like remote monitoring and predictive analytics improve operational effectiveness and patient involvement. However, there are major obstacles to the mainstream implementation of AI in healthcare, including issues with data security and budget constraints.
CONCLUSION: Healthcare may be transformed by AI, but its successful use requires ethical and responsible use. To meet the changing demands of the healthcare sector and guarantee the responsible application of AI technologies, the evaluation highlights the necessity of ongoing research, instruction, and multidisciplinary cooperation. In the future, integrating AI responsibly will be essential to optimizing its advantages and reducing related dangers.
Author: [‘Faiyazuddin M’, ‘Rahman SJQ’, ‘Anand G’, ‘Siddiqui RK’, ‘Mehta R’, ‘Khatib MN’, ‘Gaidhane S’, ‘Zahiruddin QS’, ‘Hussain A’, ‘Sah R’]
Journal: Health Sci Rep
Citation: Faiyazuddin M, et al. The Impact of Artificial Intelligence on Healthcare: A Comprehensive Review of Advancements in Diagnostics, Treatment, and Operational Efficiency. The Impact of Artificial Intelligence on Healthcare: A Comprehensive Review of Advancements in Diagnostics, Treatment, and Operational Efficiency. 2025; 8:e70312. doi: 10.1002/hsr2.70312