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Ethical Concerns Regarding the Use of Large Language Models in Healthcare

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Article Medicine, General & Internal

Attention is not all you need: the complicated case of ethically using large language models in healthcare and medicine

Stefan Harrer

Summary: Large Language Models (LLMs) are vital for generative AI applications, but without responsible development and oversight, they can create and spread misinformation or harmful content at an unprecedented scale. However, if used as assistive tools rather than replacements for humans, LLMs have the potential to be efficient and reliable for information management. This perspective outlines how LLMs can transform data management in healthcare, explains their underlying technology, assesses risks and limitations, and proposes a framework for responsible design, development, and deployment.

EBIOMEDICINE (2023)

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Ethics of large language models in medicine and medical research

Hanzhou Li et al.

LANCET DIGITAL HEALTH (2023)

Review Medicine, General & Internal

Creation and Adoption of Large Language Models in Medicine

Nigam H. Shah et al.

Summary: There is a growing interest in using large language models (LLMs) in medicine, but it is important to actively shape their creation and use by providing relevant training data, specifying desired benefits, and evaluating their real-world performance.

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2023)

Article Medicine, Research & Experimental

The future landscape of large language models in medicine

Jan Clusmann et al.

Summary: This article provides a systematic and comprehensive overview of the potentials and limitations of large language models (LLMs) in clinical practice, medical research, and medical education. It highlights the potential of LLMs to democratize medical knowledge and facilitate access to healthcare, while also pointing out the risks of misinformation and scientific misconduct due to a lack of accountability and transparency.

COMMUNICATIONS MEDICINE (2023)