Evaluation of risk of bias in neuroimaging-based artificial intelligence models for psychiatric diagnosis: a systematic review
Z Chen, X Liu, Q Yang, YJ Wang, K Miao… - JAMA network …, 2023 - jamanetwork.com
Importance Neuroimaging-based artificial intelligence (AI) diagnostic models have
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …
A nationwide network of health AI assurance laboratories
Importance Given the importance of rigorous development and evaluation standards
needed of artificial intelligence (AI) models used in health care, nationwide accepted …
needed of artificial intelligence (AI) models used in health care, nationwide accepted …
[HTML][HTML] Consolidated reporting guidelines for prognostic and diagnostic machine learning modeling studies: development and validation
Background The reporting of machine learning (ML) prognostic and diagnostic modeling
studies is often inadequate, making it difficult to understand and replicate such studies. To …
studies is often inadequate, making it difficult to understand and replicate such studies. To …
Addressing racial disparities in surgical care with machine learning
There is ample evidence to demonstrate that discrimination against several population
subgroups interferes with their ability to receive optimal surgical care. This bias can take …
subgroups interferes with their ability to receive optimal surgical care. This bias can take …
Perceptions of data set experts on important characteristics of health data sets ready for machine learning: a qualitative study
Importance The lack of data quality frameworks to guide the development of artificial
intelligence (AI)-ready data sets limits their usefulness for machine learning (ML) research in …
intelligence (AI)-ready data sets limits their usefulness for machine learning (ML) research in …
Validation of a proprietary deterioration index model and performance in hospitalized adults
TF Byrd, B Southwell, A Ravishankar, T Tran… - JAMA Network …, 2023 - jamanetwork.com
Importance The Deterioration Index (DTI), used by hospitals for predicting patient
deterioration, has not been extensively validated externally, raising concerns about …
deterioration, has not been extensively validated externally, raising concerns about …
The algorithm journey map: a tangible approach to implementing AI solutions in healthcare
When integrating AI tools in healthcare settings, complex interactions between technologies
and primary users are not always fully understood or visible. This deficient and ambiguous …
and primary users are not always fully understood or visible. This deficient and ambiguous …
Open questions and research gaps for monitoring and updating AI-enabled tools in clinical settings
As the implementation of artificial intelligence (AI)-enabled tools is realized across diverse
clinical environments, there is a growing understanding of the need for ongoing monitoring …
clinical environments, there is a growing understanding of the need for ongoing monitoring …
Considerations in the reliability and fairness audits of predictive models for advance care planning
Multiple reporting guidelines for artificial intelligence (AI) models in healthcare recommend
that models be audited for reliability and fairness. However, there is a gap of operational …
that models be audited for reliability and fairness. However, there is a gap of operational …
A call for better validation of opioid overdose risk algorithms
Clinical decision support (CDS) systems powered by predictive models have the potential to
improve the accuracy and efficiency of clinical decision-making. However, without sufficient …
improve the accuracy and efficiency of clinical decision-making. However, without sufficient …