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Category: AI

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AI

Unraveling the Enigma of AI Bias in Healthcare: A Call to Action for Public Health Practitioners

The emergence of artificial intelligence (AI) in healthcare promises a revolution in patient care and treatment outcomes. However, the insightful article Bias in artificial intelligence algorithms and recommendations for mitigation, highlights a critical issue: the inherent bias in AI algorithms. This piece aims to dissect the complex layers of this bias and its implications for […]

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AI

Transforming Public Health: The Revolutionary Role of AI in Implementation Science

In today’s rapidly evolving world, the gap between scientific discoveries and their application in public health practices remains a significant challenge. This is more or less what I’ve dedicated my career to. A recent enlightening article in Implementation Science, titled Leveraging artificial intelligence to advance implementation science: potential opportunities and cautions, offers a glimpse into […]

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AI

Understanding the Future of Healthcare: AI and Predictive Models in the Veterans Health Administration

Healthcare is on the brink of a transformation, thanks to the groundbreaking work done in predictive models using Artificial Intelligence (AI) and Machine Learning (ML). A shining example of this evolution is found in the Veterans Health Administration’s (VHA) efforts, as detailed in the article “Developing and Implementing Predictive Models in a Learning Healthcare System: […]

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AI

The Role of Theory in Translating Clinical AI Research into Practice

In the realm of healthcare, the implementation of Artificial Intelligence (AI) has been met with equal parts enthusiasm and skepticism. As we stride forward, the need to narrow the chasm between potential and practice in clinical AI has never been more critical. A recent bibliometric study, Evaluating the translation of implementation science to clinical artificial […]

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AI

Embracing a New Era in Global Digital Health: Innovations Beyond Profits

In the world of public health, a new frontier is being charted. “Rethinking global digital health and AI-for-health innovation challenges,” a thought-provoking article published in PLOS Global Public Health, sheds light on this transformative journey. At its core, this article by Farlow et al. proposes a radical shift in how we approach digital health technologies […]

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AI

Navigating the Complexities of AI in Law Enforcement: Implications for Public Health Practice

Recently, artificial intelligence (AI) integration in law enforcement, specifically in areas such as predictive policing and risk assessment, has garnered significant attention and debate. The article Artificial Intelligence, Predictive Policing, and Risk Assessment for Law Enforcement published in the Annual Review of Criminology, delves into this complex and multifaceted subject, comprehensively examining AI’s role in […]

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AI

Embracing AI in Mental Health Care

The rapid evolution of artificial intelligence (AI) in healthcare, especially in mental health, is not just a technological leap but a paradigm shift in patient care. The article The Adoption of AI in Mental Health Care–Perspectives From Mental Health Professionals: Qualitative Descriptive Study, published in JMIR Formative Research, offers an insightful exploration of this transition. […]

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AI

AI in Medical Science Writing: Navigating Opportunities and Ethical Considerations

In the unbelievably rapidly evolving field of medical science writing, the adoption of artificial intelligence (AI) and large language models (LLMs) is redefining our approach to knowledge creation and dissemination. The article, “Guiding principles and proposed classification system for the responsible adoption of artificial intelligence in scientific writing in medicine,” digs into the transformative impact […]

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