Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study

T Zack, E Lehman, M Suzgun, JA Rodriguez… - The Lancet Digital …, 2024 - thelancet.com
Summary Background Large language models (LLMs) such as GPT-4 hold great promise as
transformative tools in health care, ranging from automating administrative tasks to …

[HTML][HTML] Opportunities and risks of ChatGPT in medicine, science, and academic publishing: a modern Promethean dilemma

J Homolak - Croatian Medical Journal, 2023 - ncbi.nlm.nih.gov
The release of ChatGPT, the latest large (175-billion-parameter) language model by San
Francisco-based company OpenAI, prompted many to think about the exciting (and …

Humans inherit artificial intelligence biases

L Vicente, H Matute - Scientific Reports, 2023 - nature.com
Artificial intelligence recommendations are sometimes erroneous and biased. In our
research, we hypothesized that people who perform a (simulated) medical diagnostic task …

Strategies for implementing machine learning algorithms in the clinical practice of radiology

A Chae, MS Yao, H Sagreiya, AD Goldberg… - Radiology, 2024 - pubs.rsna.org
Despite recent advancements in machine learning (ML) applications in health care, there
have been few benefits and improvements to clinical medicine in the hospital setting. To …

Judging facts, judging norms: Training machine learning models to judge humans requires a modified approach to labeling data

A Balagopalan, D Madras, DH Yang… - Science …, 2023 - science.org
As governments and industry turn to increased use of automated decision systems, it
becomes essential to consider how closely such systems can reproduce human judgment …

Surviving ChatGPT in healthcare

Z Liu, L Zhang, Z Wu, X Yu, C Cao, H Dai, N Liu… - Frontiers in …, 2024 - frontiersin.org
At the dawn of of Artificial General Intelligence (AGI), the emergence of large language
models such as ChatGPT show promise in revolutionizing healthcare by improving patient …

Foundation models in healthcare: opportunities, risks & strategies forward

A Thieme, A Nori, M Ghassemi, R Bommasani… - Extended Abstracts of …, 2023 - dl.acm.org
Foundation models (FMs) are a new paradigm in AI. First pretrained on broad data at
immense scale and subsequently adapted to more specific tasks, they achieve high …

Coding Inequity: Assessing GPT-4's Potential for Perpetuating Racial and Gender Biases in Healthcare

T Zack, E Lehman, M Suzgun, JA Rodriguez, LA Celi… - medRxiv, 2023 - medrxiv.org
Background. Large language models (LLMs) such as GPT-4 hold great promise as
transformative tools in healthcare, ranging from automating administrative tasks to …

Addressing bias in artificial intelligence for public health surveillance

L Flores, S Kim, SD Young - Journal of Medical Ethics, 2024 - jme.bmj.com
Components of artificial intelligence (AI) for analysing social big data, such as natural
language processing (NLP) algorithms, have improved the timeliness and robustness of …

Taking Off with AI: Lessons from Aviation for Healthcare

E Bondi-Kelly, T Hartvigsen, LM Sanneman… - Proceedings of the 3rd …, 2023 - dl.acm.org
Artificial intelligence (AI) stands to improve healthcare through innovative new systems
ranging from diagnosis aids to patient tools. However, such “Health AI” systems are …