We need to chat about artificial intelligence

Editorial Material Medicine, General & Internal

Nonhuman Authors and Implications for the Integrity of Scientific Publication and Medical Knowledge

Annette Flanagin et al.

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2023)

Add to Collection

Article Medicine, General & Internal

Benefits, Limits, and Risks of GPT-4 as an AI Chatbot for Medicine

Peter Lee et al.

Summary: GPT-4 is a medical chatbot that could affect the practice of medicine.

NEW ENGLAND JOURNAL OF MEDICINE (2023)

Add to Collection

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)

Add to Collection

Review Computer Science, Information Systems

Digital health for climate change mitigation and response: a scoping review

Hania Rahimi-Ardabili et al.

Summary: This scoping review explores the potential and applications of digital health in addressing climate change and reducing greenhouse gas emissions. Although there has been a growth in research in recent years, real-world evaluation remains limited, highlighting the need for further acceleration.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2022)

Add to Collection

Article Cell Biology

Evidence synthesis, digital scribes, and translational challenges for artificial intelligence in healthcare

Enrico Coiera et al.

Summary: Healthcare faces challenges in safety, quality, and effectiveness, and many believe that artificial intelligence (AI) is essential to addressing these issues. Emerging applications include automated synthesis of research evidence and recording patient events and conversations. However, three persistent challenges need to be addressed before widespread deployment of AI: lack of trial replication, underreporting of patient harms, and potential ineffectiveness in different clinical settings.

CELL REPORTS MEDICINE (2022)

Add to Collection

Article Health Care Sciences & Services