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              <text>Solanki, Shashank</text>
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              <text>Regulating the Rise of Transformers in Global Healthcare: A Legal and International Law Perspective on AI Governance, Ethics, and Data Protection</text>
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              <text>Transformative Role of Transformer Models in Healthcare;pp.83-121</text>
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              <text>&lt;a href="https://doi.org/10.4018/979-8-3373-2038-0.ch004" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4018/979-8-3373-2038-0.ch004&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105022673940?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105022673940?origin=resultslist&lt;/a&gt;</text>
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              <text>Solanki S., Christ University, India</text>
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              <text>With advances in healthcare, GPT, BioGPT and MedPaLM are helping doctors diagnose better, choose better treatments and engage with patients. Yet, these uses bring up significant problems related to privacy, understanding what the algorithms do, who is responsible for actions and gaining agreement. The paper examines global regulation on AI-for example, GDPR, HIPAA, India's DPDP Act, OECD AI Principles and UNESCO's AI Ethics Recommendation-and points out where gaps still exist, mainly in places with lower and middle incomes. Using both comparative studies and a focus on policies, it proposes common standards, specially designed rules for AI liability and ways to test ethical considerations. To provide secure, clear and equal use of AI in healthcare markets, the study proposes that countries come together to govern the technology.  2026, IGI Global Scientific Publishing. All rights reserved.</text>
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              <text>ISBN: 979-833732040-3; 979-833732038-0;</text>
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