AIMC Topic: Bias
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Medical Artificial Intelligence and Human Values.
The New England journal of medicine
May 30, 2024
Understanding and Mitigating Bias in Imaging Artificial Intelligence.
Radiographics : a review publication of the Radiological Society of North America, Inc
May 1, 2024
Artificial intelligence (AI) algorithms are prone to bias at multiple stages of model development, with potential for exacerbating health disparities. However, bias in imaging AI is a complex topic that encompasses multiple coexisting definitions. m...
Invited Commentary: The Double-edged Sword of Bias in Medical Imaging Artificial Intelligence.
Radiographics : a review publication of the Radiological Society of North America, Inc
May 1, 2024
Unmasking bias in artificial intelligence: a systematic review of bias detection and mitigation strategies in electronic health record-based models.
Journal of the American Medical Informatics Association : JAMIA
Apr 19, 2024
OBJECTIVES: Leveraging artificial intelligence (AI) in conjunction with electronic health records (EHRs) holds transformative potential to improve healthcare. However, addressing bias in AI, which risks worsening healthcare disparities, cannot be ove...
An intentional approach to managing bias in general purpose embedding models.
The Lancet. Digital health
Feb 1, 2024
Advances in machine learning for health care have brought concerns about bias from the research community; specifically, the introduction, perpetuation, or exacerbation of care disparities. Reinforcing these concerns is the finding that medical image...
Semisupervised transfer learning for evaluation of model classification performance.
Biometrics
Jan 29, 2024
In many modern machine learning applications, changes in covariate distributions and difficulty in acquiring outcome information have posed challenges to robust model training and evaluation. Numerous transfer learning methods have been developed to ...
Reducing bias in healthcare artificial intelligence: A white paper.
Health informatics journal
Jan 1, 2024
Mitigation of racism in artificial intelligence (AI) is needed to improve health outcomes, yet no consensus exists on how this might be achieved. At an international conference in 2022, experts gathered to discuss strategies for reducing bias in he...
Prediction of Complications and Prognostication in Perioperative Medicine: A Systematic Review and PROBAST Assessment of Machine Learning Tools.
Anesthesiology
Jan 1, 2024
BACKGROUND: The utilization of artificial intelligence and machine learning as diagnostic and predictive tools in perioperative medicine holds great promise. Indeed, many studies have been performed in recent years to explore the potential. The purpo...
Automation Bias and Assistive AI: Risk of Harm From AI-Driven Clinical Decision Support.
JAMA
Dec 19, 2023
Measuring the Impact of AI in the Diagnosis of Hospitalized Patients: A Randomized Clinical Vignette Survey Study.
JAMA
Dec 19, 2023
IMPORTANCE: Artificial intelligence (AI) could support clinicians when diagnosing hospitalized patients; however, systematic bias in AI models could worsen clinician diagnostic accuracy. Recent regulatory guidance has called for AI models to include ...
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