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Artificial Intelligence Adoption and Application in Healthcare: What We Know and What We Should Do
ABSTRACT
Artificial Intelligence (AI) is increasingly being integrated into healthcare, offering a wide array of benefits. Current AI applications encompass data mining, therapy, diagnosis and more, with a focus on enhancing patient care and quality of life. AI is revolutionizing clinical practice, improving patient care and outcomes. Recent breakthroughs have led to the building of reliable and safer AI systems, capable of handling the complexity of healthcare data. AI algorithms in healthcare supply chains have enhanced system intelligence and security, contributing to overall resilience and sustainable development. The impact of AI in healthcare spans from detecting clinical conditions to managing electronic health records and drug discovery. AI surpassing human performance offers hope for improved disease prevention, detection, diagnosis, and treatment. Furthermore, the potential of AI to optimize resource utilization and enhance productivity underscores its critical role in patient care. Building on this promising start necessitates striking a balance between technical advancements and ethical considerations. The governance, ethical concerns and regulatory issues surrounding AI applications in healthcare stress the importance of addressing these aspects for responsible AI deployment. Policy support for AI applications in healthcare can facilitate service automation, improve care delivery and patient outcomes. Here, we highlight the multiple ways in which the transformative power of AI is revolutionizing medical practice and patient care.
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© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.