The inclusion of augmented intelligence in medicine: a framework for successful implementation
G Bazoukis, J Hall, J Loscalzo, EM Antman… - Cell Reports …, 2022 - cell.com
Artificial intelligence (AI) algorithms are being applied across a large spectrum of everyday
life activities. The implementation of AI algorithms in clinical practice has been met with …
life activities. The implementation of AI algorithms in clinical practice has been met with …
Application of artificial intelligence in the health care safety context: opportunities and challenges
S Ellahham, N Ellahham… - American Journal of …, 2020 - journals.sagepub.com
There is a growing awareness that artificial intelligence (AI) has been used in the analysis of
complicated and big data to provide outputs without human input in various health care …
complicated and big data to provide outputs without human input in various health care …
Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study
Objective To create and validate a simple and transferable machine learning model from
electronic health record data to accurately predict clinical deterioration in patients with covid …
electronic health record data to accurately predict clinical deterioration in patients with covid …
[HTML][HTML] Detection of calibration drift in clinical prediction models to inform model updating
Abstract Model calibration, critical to the success and safety of clinical prediction models,
deteriorates over time in response to the dynamic nature of clinical environments. To support …
deteriorates over time in response to the dynamic nature of clinical environments. To support …
Advancing AI in healthcare: a comprehensive review of best practices
S Polevikov - Clinica Chimica Acta, 2023 - Elsevier
Abstract Artificial Intelligence (AI) and Machine Learning (ML) are powerful tools shaping the
healthcare sector. This review considers twelve key aspects of AI in clinical practice: 1) …
healthcare sector. This review considers twelve key aspects of AI in clinical practice: 1) …
A nonparametric updating method to correct clinical prediction model drift
Objective Clinical prediction models require updating as performance deteriorates over time.
We developed a testing procedure to select updating methods that minimizes overfitting …
We developed a testing procedure to select updating methods that minimizes overfitting …
Assessing the effects of data drift on the performance of machine learning models used in clinical sepsis prediction
Background Data drift can negatively impact the performance of machine learning
algorithms (MLAs) that were trained on historical data. As such, MLAs should be …
algorithms (MLAs) that were trained on historical data. As such, MLAs should be …
A clinician's guide to artificial intelligence (AI): why and how primary care should lead the health care AI revolution
S Lin - The Journal of the American Board of Family Medicine, 2022 - Am Board Family Med
Artificial intelligence (AI) in health care is the future that is already here. Despite its potential
as a transformational force for primary care, most primary care providers (PCPs) do not know …
as a transformational force for primary care, most primary care providers (PCPs) do not know …
Holding AI to account: challenges for the delivery of trustworthy AI in healthcare
The need for AI systems to provide explanations for their behaviour is now widely
recognised as key to their adoption. In this article, we examine the problem of trustworthy AI …
recognised as key to their adoption. In this article, we examine the problem of trustworthy AI …
Use of Artificial Intelligence in Improving Outcomes in Heart Disease: A Scientific Statement From the American Heart Association
A major focus of academia, industry, and global governmental agencies is to develop and
apply artificial intelligence and other advanced analytical tools to transform health care …
apply artificial intelligence and other advanced analytical tools to transform health care …