The current and future state of AI interpretation of medical images

P Rajpurkar, MP Lungren - New England Journal of Medicine, 2023 - Mass Medical Soc
The Current and Future State of AI Interpretation of Medical Images | New England Journal of
Medicine Skip to main content The New England Journal of Medicine homepage Advanced …

The role and limitations of large language models such as ChatGPT in clinical settings and medical journalism

F Ufuk - Radiology, 2023 - pubs.rsna.org
Editor: I read with great interest the well-written and informative article, titled “ChatGPT and
the Future of Medical Writing,” by Dr Biswas (1) in the February issue of Radiology. The …

Heterogeneity and predictors of the effects of AI assistance on radiologists

F Yu, A Moehring, O Banerjee, T Salz, N Agarwal… - Nature Medicine, 2024 - nature.com
The integration of artificial intelligence (AI) in medical image interpretation requires effective
collaboration between clinicians and AI algorithms. Although previous studies demonstrated …

Combining human expertise with artificial intelligence: Experimental evidence from radiology

N Agarwal, A Moehring, P Rajpurkar, T Salz - 2023 - nber.org
ABSTRACT While Artificial Intelligence (AI) algorithms have achieved performance levels
comparable to human experts on various predictive tasks, human experts can still access …

Quantifying the impact of AI recommendations with explanations on prescription decision making

M Nagendran, P Festor, M Komorowski… - NPJ Digital …, 2023 - nature.com
The influence of AI recommendations on physician behaviour remains poorly characterised.
We assess how clinicians' decisions may be influenced by additional information more …

Exploring the drivers of XAI-enhanced clinical decision support systems adoption: Insights from a stimulus-organism-response perspective

M Dalvi-Esfahani, M Mosharaf-Dehkordi… - … Forecasting and Social …, 2023 - Elsevier
Abstract The concept of Explainable Artificial Intelligence (XAI) provides a clear and
comprehensible explanation for the reasoning behind a system's output, allowing users to …

Taking advice from chatgpt

P Zhang - arXiv preprint arXiv:2305.11888, 2023 - arxiv.org
A growing literature studies how humans incorporate advice from algorithms. This study
examines an algorithm with millions of daily users: ChatGPT. In a preregistered study, 118 …

[图书][B] Labor market exposure to AI: Cross-country differences and distributional implications

C Pizzinelli, AJ Panton, MMM Tavares, M Cazzaniga… - 2023 - books.google.com
This paper examines the impact of Artificial Intelligence (AI) on labor markets in both
Advanced Economies (AEs) and Emerging Markets (EMs). We propose an extension to a …

Explainability does not mitigate the negative impact of incorrect AI advice in a personnel selection task

J Cecil, E Lermer, MFC Hudecek, J Sauer, S Gaube - Scientific reports, 2024 - nature.com
Despite the rise of decision support systems enabled by artificial intelligence (AI) in
personnel selection, their impact on decision-making processes is largely unknown …

Mental stress detection from ultra-short heart rate variability using explainable graph convolutional network with network pruning and quantisation

V Adarsh, GR Gangadharan - Machine Learning, 2024 - Springer
This study introduces a novel pruning approach based on explainable graph convolutional
networks, strategically amalgamating pruning and quantisation, aimed to tackle the …