Artificial intelligence and machine learning in clinical medicine, 2023
CJ Haug, JM Drazen - New England Journal of Medicine, 2023 - Mass Medical Soc
Artificial Intelligence and Machine Learning in Clinical Medicine, 2023 | New England Journal of
Medicine Skip to main content The New England Journal of Medicine homepage Advanced …
Medicine Skip to main content The New England Journal of Medicine homepage Advanced …
Revolutionizing healthcare: the role of artificial intelligence in clinical practice
Introduction Healthcare systems are complex and challenging for all stakeholders, but
artificial intelligence (AI) has transformed various fields, including healthcare, with the …
artificial intelligence (AI) has transformed various fields, including healthcare, with the …
A comprehensive AI policy education framework for university teaching and learning
CKY Chan - International journal of educational technology in …, 2023 - Springer
This study aims to develop an AI education policy for higher education by examining the
perceptions and implications of text generative AI technologies. Data was collected from 457 …
perceptions and implications of text generative AI technologies. Data was collected from 457 …
Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)
Background and objectives Artificial intelligence (AI) has branched out to various
applications in healthcare, such as health services management, predictive medicine …
applications in healthcare, such as health services management, predictive medicine …
A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion
In the last few years, the trend in health care of embracing artificial intelligence (AI) has
dramatically changed the medical landscape. Medical centres have adopted AI applications …
dramatically changed the medical landscape. Medical centres have adopted AI applications …
A foundation model for generalizable disease detection from retinal images
Medical artificial intelligence (AI) offers great potential for recognizing signs of health
conditions in retinal images and expediting the diagnosis of eye diseases and systemic …
conditions in retinal images and expediting the diagnosis of eye diseases and systemic …
Transformer-based unsupervised contrastive learning for histopathological image classification
A large-scale and well-annotated dataset is a key factor for the success of deep learning in
medical image analysis. However, assembling such large annotations is very challenging …
medical image analysis. However, assembling such large annotations is very challenging …
[HTML][HTML] The false hope of current approaches to explainable artificial intelligence in health care
M Ghassemi, L Oakden-Rayner… - The Lancet Digital Health, 2021 - thelancet.com
The black-box nature of current artificial intelligence (AI) has caused some to question
whether AI must be explainable to be used in high-stakes scenarios such as medicine. It has …
whether AI must be explainable to be used in high-stakes scenarios such as medicine. It has …
Shifting machine learning for healthcare from development to deployment and from models to data
In the past decade, the application of machine learning (ML) to healthcare has helped drive
the automation of physician tasks as well as enhancements in clinical capabilities and …
the automation of physician tasks as well as enhancements in clinical capabilities and …
[HTML][HTML] Assessing the utility of ChatGPT throughout the entire clinical workflow: development and usability study
A Rao, M Pang, J Kim, M Kamineni, W Lie… - Journal of Medical …, 2023 - jmir.org
Background Large language model (LLM)–based artificial intelligence chatbots direct the
power of large training data sets toward successive, related tasks as opposed to single-ask …
power of large training data sets toward successive, related tasks as opposed to single-ask …