Tag Archives: artificial intelligence

ChatGPT

How ChatGPT Health is rewriting patient engagement

By Christoph Lippuner
ChatGPT

A recent survey of 2,000 UK patients found one in four patients (24%) already use AI for health guidance, and nearly one in three (30%) would be willing to consult AI or social media rather than wait to see a clinician. Despite this growing reliance on digital tools, the same survey revealed a disconnect in patient confidence, with almost 80% reporting that they do not feel fully in control of their healthcare. How might ChatGPT Health accelerate this shift, as well as what needs to happen to ensure AI adoption genuinely empowers patients rather than adding further complexity?

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Superemployees - AI human evolution

How is AI Enabling Darwinian growth for Life Science Professionals?

By Ivor Campbell
Superemployees - AI human evolution

The initial fear that the artificial intelligence and machine learning evolution will replace humans is shifting. A new narrative recognizes the potential for an AI-enabled workforce — one where the technology is a jobs creator, enabling us all to be more productive rather than making millions of people redundant or obsolete — actually giving rise to the multi-disciplinary, power employee.

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Smart Critical Care

Using AI and LLMs to fill in fragmented data gaps within complex critical care

By Dimitar Baronov, PhD
Smart Critical Care

AI and large language models (LLMs) are revolutionizing critical care by integrating scattered data from various sources to deliver real-time insights. This allows for prompt escalation or de-escalation of treatment and enhances patient outcomes. These technologies also help reduce staffing issues and prevent clinician burnout by continuously monitoring patient risk and supporting decision-making in busy ICU settings.

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Artificial Intelligence Graphic

AI and Functional Precision Medicine: A Defining Moment for Pediatric Cancer Care

Artificial Intelligence Graphic

President Trump’s 2025 executive order establishing artificial intelligence (AI) in pediatric cancer as a national priority marks a turning point in medicine. For decades, childhood cancer treatments have advanced slowly, constrained by limited data, small clinical trials, and therapies designed for adults. The convergence of AI and Functional Precision Medicine (FPM) now offers a path to faster, more accurate, and more personalized treatments for children, one that replaces population-based best guesses with evidence-driven precision care.

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