AIMC Topic: Bias

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Features in Backgrounds of Microscopy Images Introduce Biases in Machine Learning Analyses.

Journal of pharmaceutical sciences Mar 12, 2024
Subvisible particles may be encountered throughout the processing of therapeutic protein formulations. Flow imaging microscopy (FIM) and backgrounded membrane imaging (BMI) are techniques commonly used to record digital images of these particles, whi...
Microscopy Neural Networks, Computer Algorithms Bias Machine Learning
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Assessment of bias in scoring of AI-based radiotherapy segmentation and planning studies using modified TRIPOD and PROBAST guidelines as an example.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Mar 2, 2024
BACKGROUND AND PURPOSE: Studies investigating the application of Artificial Intelligence (AI) in the field of radiotherapy exhibit substantial variations in terms of quality. The goal of this study was to assess the amount of transparency and bias in...
Artificial Intelligence Reproducibility of Results Radiotherapy Planning, Computer-Assisted Humans Delphi Technique Neoplasms Practice Guidelines as Topic Bias Checklist
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Assessing supervisor versus trainee viewpoints of entrustment through cognitive and affective lenses: an artificial intelligence investigation of bias in feedback.

Advances in health sciences education : theory and practice Feb 23, 2024
The entrustment framework redirects assessment from considering only trainees' competence to decision-making about their readiness to perform clinical tasks independently. Since trainees and supervisors both contribute to entrustment decisions, we ex...
Formative Feedback Male Trust Cognition Bias Clinical Competence Students, Medical Feedback Artificial Intelligence Female Humans
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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 Data Collection Artificial Intelligence Bias 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...
Artificial Intelligence Algorithms Humans Cardiovascular Diseases Bias Female Male
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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...
Artificial Intelligence Machine Learning Bias Drug Discovery
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Unveiling biases of artificial intelligence in healthcare: Navigating the promise and pitfalls.

Injury Jan 17, 2024
Humans Delivery of Health Care Artificial Intelligence Bias
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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...
Models, Psychological Choice Behavior Bias Datasets as Topic Risk-Taking Adult Machine Learning Humans Decision Making Neural Networks, Computer
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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...
Natural Language Processing Bias Female Male Intensive Care Units Electronic Health Records Neural Networks, Computer Algorithms Critical Illness 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 Confidentiality Humans Dermatology Bias Computer Security Healthcare Disparities
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