AI'S Healing Touch: Examining Machine Learning's Transformative Effects On Healthcare

IF 2.1
Ali Husnain, Saad Rasool, Ayesha Saeed, Ahmad Yousaf Gill, Hafiz Khawar Hussain
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Abstract

In the realm of healthcare, artificial intelligence (AI) emerges as a transformative force, reshaping established practices and offering unprecedented advancements. This comprehensive analysis delves into the multifaceted ways AI is revolutionizing healthcare, focusing on its transformative capabilities, inherent challenges, and the crucial ethical complexities entwined in its application. The challenge lies in balancing transparency and accountability amid the intricate algorithms, particularly concerning the interpretability of AI-generated insights. The analysis explores ethical dilemmas tied to patient autonomy and the evolving responsibilities of healthcare providers. It advocates for open dialogue among AI systems, patients, and healthcare professionals, navigating the delicate balance between innovation and patient welfare. The article emphasizes the imperative for robust ethical frameworks and regulations governing AI implementation in healthcare. The comprehensive investigation concludes by exploring AI's potential applications in healthcare, envisioning improved medical procedures, drug discoveries, remote patient monitoring, and diagnostic enhancements. To harness AI's transformative power while safeguarding patient interests, collaboration between healthcare professionals, data scientists, policymakers, and ethicists is paramount. This abstract encapsulates the profound shifts AI has initiated in healthcare, underscoring the vital need to harness its potential while addressing the ethical and regulatory complexities arising with its integration. Ultimately, it portrays a holistic view of AI's evolving role in healthcare, highlighting its potential to revolutionize patient care, medical practices, and the entire healthcare landscape.
人工智能的治愈之触:检视机器学习对医疗保健的变革性影响
在医疗保健领域,人工智能(AI)作为一种变革力量出现,重塑了既定的实践并提供了前所未有的进步。这份全面的分析深入探讨了人工智能在医疗保健领域掀起革命的多方面方式,重点关注其变革能力、内在挑战以及在其应用中纠缠在一起的关键伦理复杂性。挑战在于在复杂的算法中平衡透明度和问责制,特别是在人工智能生成的见解的可解释性方面。该分析探讨了与患者自主和医疗保健提供者不断发展的责任相关的道德困境。它倡导人工智能系统、患者和医疗保健专业人员之间的公开对话,在创新和患者福利之间取得微妙的平衡。文章强调了在医疗保健中实施人工智能的强有力的道德框架和法规的必要性。这项全面的调查最后探讨了人工智能在医疗保健领域的潜在应用,设想了改进的医疗程序、药物发现、远程患者监测和诊断增强。为了在保护患者利益的同时利用人工智能的变革力量,医疗保健专业人员、数据科学家、政策制定者和伦理学家之间的合作至关重要。这篇摘要概括了人工智能在医疗保健领域引发的深刻变化,强调了利用其潜力同时解决其整合所带来的伦理和监管复杂性的至关重要的必要性。最后,它描绘了人工智能在医疗保健领域不断发展的角色的整体观点,强调了其革命性的病人护理、医疗实践和整个医疗保健领域的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
World Journal of Science Technology and Sustainable Development
World Journal of Science Technology and Sustainable Development GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY-
CiteScore
5.50
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