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Effective URL: https://businessforwardauc.com/2024/06/13/the-dawn-of-a-new-era-artificial-intelligence-and-the-transformation-of-healthcare/
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Effective URL: https://businessforwardauc.com/2024/06/13/the-dawn-of-a-new-era-artificial-intelligence-and-the-transformation-of-healthcare/
Submission: On June 24 via manual from EG — Scanned from DE
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* Contact us * About us * fb * tw * yt * in * search * [Custom] * Contact us * About us * fb * tw * yt * in * search * [Custom] * Contact us * About us * fb * tw * yt * in * search * [Custom] * Contact us * About us * * * * * * Menu * Industry Insight * * Unlocking AI’s Potential in Legal Processes * * Harnessing AI for Business: Key Takeaways from AUC’s IT Symposium * * Unleashing Potential: Why Strategy and Entrepreneurship Education Matters in Emerging Markets * * The Curious Case of The Egyptian Real Estate * Close * Passion Projects * * Repurposing landmarks: the case of Consoleya * * Beauty in the age of digital transformation: solutions for busy women * * Egyptian tourism in the face of climate changes: what to expect? * * Egyptian businesses too can help save the planet * Close * On Trends * * Navigating the AI Revolution: Addressing Job Loss and Shaping the Future Workforce * * How AI is Revolutionizing Road Safety * * The Dawn of a New Era: Artificial Intelligence and the Transformation of Healthcare * * Unlocking AI’s Potential in Legal Processes * Close * Perspectives * * Opinions * * How AI is Revolutionizing Road Safety * * The Dawn of a New Era: Artificial Intelligence and the Transformation of Healthcare * * Unlocking AI’s Potential in Legal Processes * Close * Close * Multimedia * * Videos * * Harnessing AI for Global Health: Expert Insights from Dr. Rehab Abdel-Hai, Chair of Public Health at Cairo University * * AI and Road Safety: Insights from the Nada Foundation’s Leaders * * Unlocking AI’s Potential in Legal Processes * Close * Audios * * [Podcast] COP28: AUC, youth and the future of climate changeDecember 31, 2023 * * Micro-credentials vs. college degrees: who wins?April 11, 2023 * * [Explained] Reasons and implications of recent overseas bank failuresApril 2, 2023 * Close * Infographs * * The journey to the IMF loan: A blessing in disguise? * * [Infographic] DCode: COP 27, It’s not just the government and big businesses * * [Infographic] Latest Women on Boards report reflects a positive movement * Close * Podcasts * * [Podcast] COP28: AUC, youth and the future of climate change * * [Podcast] From good to excellent: tackling workplace challenges for leaders and employees * * [Podcast] Resolving family business challenges in 2023: Pharco in ICC * Close * Close * Get Knowledge * * Navigating the AI Revolution: Addressing Job Loss and Shaping the Future Workforce * * Harnessing AI for Global Health: Expert Insights from Dr. Rehab Abdel-Hai, Chair of Public Health at Cairo University * * AI and Road Safety: Insights from the Nada Foundation’s Leaders * * How AI is Revolutionizing Road Safety * Close * IMovedMyBusinessFoward * How I moved my business 2022 * How I moved my business 2023 * How I moved my business 2024 * Close * Events * 2019 * 2020 * 2021 * 2022 * 2023 * Close * THE DAWN OF A NEW ERA: ARTIFICIAL INTELLIGENCE AND THE TRANSFORMATION OF HEALTHCARE Home/Artificial intelligence, homepage-featured, On Trends, Opinions, Perspectives, Themes/The Dawn of a New Era: Artificial Intelligence and the Transformation of Healthcare THE DAWN OF A NEW ERA: ARTIFICIAL INTELLIGENCE AND THE TRANSFORMATION OF HEALTHCARE * View Larger Image * * -------------------------------------------------------------------------------- By Enjy Akram June 13, 2024 SHARE FacebookTwitterLinkedinEmail Business Forward Digest SUBSCRIBE TO RECEIVE A DIGEST OF OUR LATEST CONTENT STRAIGHT TO YOUR INBOX By Enjy Akram June 13, 2024 SHARE FacebookTwitterLinkedinEmail Business Forward Digest SUBSCRIBE TO RECEIVE A DIGEST OF OUR LATEST CONTENT STRAIGHT TO YOUR INBOX MOST POPULAR * The Dawn of a New Era: Artificial Intelligence and the Transformation of Healthcare 72 views * Navigating the AI Revolution: Addressing Job Loss and Shaping the Future Workforce 23 views * Nvidia Emerges as the Rising Star in the AI Epoch 13 views Artificial intelligence (AI) is no longer a futuristic concept; it is rapidly becoming an integral part of our lives, and healthcare is no exception. The potential of AI to revolutionize patient care, research, and drug development is immense, promising a future where healthcare is more personalized, efficient, and effective. AI: A Catalyst for Precision Diagnosis and Treatment AI algorithms are increasingly being used to assist doctors in diagnosing diseases. Machine learning models can analyze medical images like X-rays, CT scans, and MRIs with remarkable accuracy, identifying anomalies that might be missed by the human eye (Esteva et al., 2017). This technology is particularly useful in detecting early-stage cancers, which can significantly improve treatment outcomes. Beyond diagnosis, AI is also playing a role in treatment planning and optimization. For example, AI-powered systems can analyze patient data to predict the effectiveness of different treatment options, personalize treatment plans, and even monitor patient response to therapy in real-time (Szolovits, 2017). Accelerating Drug Discovery and Development The development of new drugs is a lengthy and expensive process. AI is accelerating this process by identifying potential drug candidates, predicting their efficacy, and optimizing their properties. AI algorithms can analyze vast amounts of data from scientific literature, clinical trials, and patient records to identify promising drug targets and design new molecules with desired properties (Chen et al., 2018). This has the potential to bring life-saving treatments to patients faster and at a lower cost. AI: The Engine of Personalized Medicine One of the most exciting applications of AI in healthcare is the development of personalized medicine. By analyzing individual patient data, including genetic information, lifestyle factors, and medical history, AI can tailor treatments to specific patients, maximizing effectiveness and minimizing side effects (Kohane, 2019). This approach promises to revolutionize the way we treat diseases, moving away from a one-size-fits-all approach to a more personalized and targeted approach. The Promise of AI in Public Health AI is not only transforming individual patient care but also revolutionizing public health. AI-powered systems can analyze large datasets of health information to identify patterns and trends, predict outbreaks of infectious diseases, and optimize resource allocation (Freedman et al., 2019). This has the potential to save lives and improve the overall health of populations. Navigating the Ethical Landscape While the potential of AI in healthcare is vast, there are also challenges and ethical considerations that need to be addressed. One concern is the potential for bias in AI algorithms, which can lead to discriminatory outcomes if not carefully addressed (Obermeyer et al., 2019). Additionally, there are concerns about data privacy and security, as well as the need for transparency and accountability in the use of AI in healthcare. The Future of Healthcare: A Collaborative Effort The future of healthcare is one where AI and human expertise work together to deliver the best possible care. AI can augment human capabilities, providing doctors with powerful tools to make better decisions and deliver more effective treatments. However, it is crucial to ensure that AI is used responsibly and ethically, with a focus on patient well-being and equity. —————- References: Chen, H., Engkvist, O., & Wang, J. (2018). Artificial intelligence in drug discovery and development. Drug Discovery Today, 23(9), 1241–1251. https://doi.org/10.1016/j.drudis.2018.04.013 Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Fan, S., Xu, H., … & Dermatology, S. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7642), 115–118. https://doi.org/10.1038/nature21056 Freedman, M. T., Fenton, J. J., & Kohane, I. S. (2019). The future of public health informatics: a call for action. Journal of Public Health Management and Practice, 25(1), 7–12. https://doi.org/10.1002/phm.12163 Kohane, I. S. (2019). The promise of artificial intelligence in medicine. The New England Journal of Medicine, 381(2), 140–142. https://doi.org/10.1056/NEJMp1901879 Obermeyer, Z., Powers, B., Vogeli, C., & Mullainathan, S. (2019). Dissecting racial bias in an algorithm used to manage the health of millions. Science, 366(6464), 447–453. https://doi.org/10.1126/science.aau9822 Rajkomar, A., Oren, E., Chen, K., Dai, A. M., Hajaj, N., Hardt, M., … & Dean, J. (2018). Scalable and accurate deep learning with electronic health records. npj Digital Medicine, 1(1), 1–10. https://doi.org/10.1038/s41746-018-0006-2 Szolovits, P. (2017). Artificial intelligence in medicine. The New England Journal of Medicine, 376(12), 1146–1148. https://doi.org/10.1056/NEJMp1701819 Subscribe to receive the Business Forward digest with our latest content straight to your inbox FacebookTwitterLinkedinEmail More tags : public health, drug discovery, diagnosis, AI in health, AI MOST POPULAR * The Dawn of a New Era: Artificial Intelligence and the Transformation of Healthcare 72 views * Navigating the AI Revolution: Addressing Job Loss and Shaping the Future Workforce 23 views * Nvidia Emerges as the Rising Star in the AI Epoch 13 views Load More KNOWLEDGE PARTNERS * * * * * * * * * * * BUSINESS FORWARD * * About Us * Themes * SECTIONS * * Industry Insight * Passion Projects * On Trends * Perspectives * Get Knowledge * Multimedia * THEMES * * Entrepreneurship * Family Business * Responsible Business * Economic Development CONTACT US School of Business American University in Cairo AUC Avenue – P.O. 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