AIMC Topic: Bias
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Randomized Clinical Trials of Machine Learning Interventions in Health Care: A Systematic Review.
JAMA network open
Sep 1, 2022
IMPORTANCE: Despite the potential of machine learning to improve multiple aspects of patient care, barriers to clinical adoption remain. Randomized clinical trials (RCTs) are often a prerequisite to large-scale clinical adoption of an intervention, a...
Differential biases in human-human versus human-robot interactions.
Applied ergonomics
Aug 19, 2022
The research on human-robot interactions indicates possible differences toward robot trust that do not exist in human-human interactions. Research on these differences has traditionally focused on performance degradations. The current study sought to...
Narrative Review of Machine Learning in Rheumatic and Musculoskeletal Diseases for Clinicians and Researchers: Biases, Goals, and Future Directions.
The Journal of rheumatology
Jul 15, 2022
There has been rapid growth in the use of artificial intelligence (AI) analytics in medicine in recent years, including in rheumatic and musculoskeletal diseases (RMDs). Such methods represent a challenge to clinicians, patients, and researchers, giv...
Event-level prediction of urban crime reveals a signature of enforcement bias in US cities.
Nature human behaviour
Jun 30, 2022
Policing efforts to thwart crime typically rely on criminal infraction reports, which implicitly manifest a complex relationship between crime, policing and society. As a result, crime prediction and predictive policing have stirred controversy, with...
Confounding factors need to be accounted for in assessing bias by machine learning algorithms.
Nature medicine
Jun 16, 2022
Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms.
Nature medicine
Jun 16, 2022
Reply to: 'Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms' and 'Confounding factors need to be accounted for in assessing bias by machine learning algorithms'.
Nature medicine
Jun 16, 2022
Accuracy and Efficiency of Machine Learning-Assisted Risk-of-Bias Assessments in "Real-World" Systematic Reviews : A Noninferiority Randomized Controlled Trial.
Annals of internal medicine
May 31, 2022
BACKGROUND: Automation is a proposed solution for the increasing difficulty of maintaining up-to-date, high-quality health evidence. Evidence assessing the effectiveness of semiautomated data synthesis, such as risk-of-bias (RoB) assessments, is lack...
Nonparametric estimation of the causal effect of a stochastic threshold-based intervention.
Biometrics
May 26, 2022
Identifying a biomarker or treatment-dose threshold that marks a specified level of risk is an important problem, especially in clinical trials. In view of this goal, we consider a covariate-adjusted threshold-based interventional estimand, which hap...
Artificial intelligence for prediction of treatment outcomes in breast cancer: Systematic review of design, reporting standards, and bias.
Cancer treatment reviews
May 19, 2022
BACKGROUND: Artificial intelligence (AI) has the potential to personalize treatment strategies for patients with cancer. However, current methodological weaknesses could limit clinical impact. We identified common limitations and suggested potential ...
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