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Category: AI

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AI

Predicting Opioid Misuse: A New Hope for Early Intervention

Imagine a world where healthcare providers could predict opioid misuse before it even starts, potentially saving thousands of lives. In the United States alone, nearly 10 million people misuse opioids each year, leading to devastating consequences such as addiction and even death. Despite efforts to curb the opioid crisis, overdose rates have continued to climb, […]

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AI

A [short] conversation with Per Nilsen

Dr. Per Nilsen is a distinguished professor specializing in implementation science, a rapidly growing interdisciplinary field focused on bridging the gap between research and practice. As a member of the Department of Health, Medicine and Caring Sciences at Linköping University, he leads the Division of Society and Health. Dr. Nilsen has been instrumental in developing […]

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AI

Will AI Revolutionize Healthcare?

Imagine a world where doctors can access the latest research instantly, avoid human errors, and offer more personalized care to each patient. Thanks to the revolutionary integration of artificial intelligence (AI), this isn’t a scene from a science fiction movie but a glimpse into the future of healthcare. In the world of medicine, decisions are […]

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AI

How Artificial Intelligence is Revolutionizing Online Therapy

Mental health challenges affect millions, yet many face barriers to accessing care. The COVID-19 pandemic amplified these obstacles, urging the medical community to seek innovative, scalable solutions. One promising frontier? Artificial intelligence (AI). A recent comprehensive study synthesized existing research on how AI is enhancing online mental health care, specifically in addressing adherence issues and […]

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AI

How AI Discovers Boredom’s Role in Suicide Risk

Suicide remains one of the most significant public health challenges of our times. Despite decades of research, the underlying triggers of suicide are not fully understood, partly because traditional studies have circled around the same risk factors for over 50 years. However, new study now casts light on an unexpected contributor to suicide risk: boredom. […]

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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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