AIMC Topic: Bias

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Addressing bias in artificial intelligence for public health surveillance.

Journal of medical ethics Feb 20, 2024
Components of artificial intelligence (AI) for analysing social big data, such as natural language processing (NLP) algorithms, have improved the timeliness and robustness of health data. NLP techniques have been implemented to analyse large volumes ...
Humans Public Health Surveillance Bias Data Collection Artificial Intelligence Disease Outbreaks
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Implications of Bias in Artificial Intelligence: Considerations for Cardiovascular Imaging.

Current atherosclerosis reports Feb 16, 2024
PURPOSE OF REVIEW: Bias in artificial intelligence (AI) models can result in unintended consequences. In cardiovascular imaging, biased AI models used in clinical practice can negatively affect patient outcomes. Biased AI models result from decisions...
Bias Male Cardiovascular Diseases Humans Algorithms Artificial Intelligence Female
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Deep reinforcement learning enables better bias control in benchmark for virtual screening.

Computers in biology and medicine Feb 15, 2024
Virtual screening (VS) has been incorporated into the paradigm of modern drug discovery. This field is now undergoing a new wave of revolution driven by artificial intelligence and more specifically, machine learning (ML). In terms of those out-of-th...
Drug Discovery Bias Artificial Intelligence Machine Learning
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Unveiling biases of artificial intelligence in healthcare: Navigating the promise and pitfalls.

Injury Jan 17, 2024
Delivery of Health Care Bias Humans Artificial Intelligence
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Modelling dataset bias in machine-learned theories of economic decision-making.

Nature human behaviour Jan 12, 2024
Normative and descriptive models have long vied to explain and predict human risky choices, such as those between goods or gambles. A recent study reported the discovery of a new, more accurate model of human decision-making by training neural networ...
Humans Neural Networks, Computer Datasets as Topic Models, Psychological Decision Making Machine Learning Risk-Taking Choice Behavior Bias Adult
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Measuring Implicit Bias in ICU Notes Using Word-Embedding Neural Network Models.

Chest Jan 8, 2024
BACKGROUND: Language in nonmedical data sets is known to transmit human-like biases when used in natural language processing (NLP) algorithms that can reinforce disparities. It is unclear if NLP algorithms of medical notes could lead to similar trans...
Bias Electronic Health Records Female Male Natural Language Processing Critical Illness Intensive Care Units Neural Networks, Computer Algorithms Humans
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Challenges of artificial intelligence in medicine and dermatology.

Clinics in dermatology Jan 4, 2024
Artificial intelligence (AI) in medicine and dermatology brings additional challenges related to bias, transparency, ethics, security, and inequality. Bias in AI algorithms can arise from biased training data or decision-making processes, leading to ...
Artificial Intelligence Algorithms Humans Confidentiality Dermatology Computer Security Bias Healthcare Disparities
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Assessment of the bias of artificial intelligence generated images and large language models on their depiction of a surgeon.

ANZ journal of surgery Dec 13, 2023
Surgeons Humans Bias Artificial Intelligence
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Measurement and Mitigation of Bias in Artificial Intelligence: A Narrative Literature Review for Regulatory Science.

Clinical pharmacology and therapeutics Dec 12, 2023
Artificial intelligence (AI) is increasingly being used in decision making across various industries, including the public health arena. Bias in any decision-making process can significantly skew outcomes, and AI systems have been shown to exhibit bi...
Bias Artificial Intelligence Benchmarking Public Health Humans
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Efficient adversarial debiasing with concept activation vector - Medical image case-studies.

Journal of biomedical informatics Dec 1, 2023
BACKGROUND: A major hurdle for the real time deployment of the AI models is ensuring trustworthiness of these models for the unseen population. More often than not, these complex models are black boxes in which promising results are generated. Howeve...
Healthcare Disparities Diagnostic Imaging Racial Groups Humans Clinical Decision-Making Minority Groups Bias Artificial Intelligence Mammography
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