AIMC Topic: Uncertainty
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Optimizing Stroke Detection Using Evidential Networks and Uncertainty-Based Refinement.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jan 1, 2025
Evaluating neurological impairments post-stroke is essential for assessing treatment efficacy and managing subsequent disabilities. Conventional clinical assessment methods depend largely on clinicians' visual and physical evaluations, resulting in c...
Nostalgia encourages exploration and fosters uncertainty in response to AI technology.
The British journal of social psychology
Jan 1, 2025
The burgeoning progress of cutting-edge technology paradoxically evokes nostalgia. How does this emotion influence responses to innovative technology, such as Artificial Intelligence (AI)? We hypothesized that two pathways operate concurrently. First...
Refined matrix completion for spectrum estimation of heart rate variability.
Mathematical biosciences and engineering : MBE
Aug 2, 2024
Heart rate variability (HRV) is an important metric in cardiovascular health monitoring. Spectral analysis of HRV provides essential insights into the functioning of the cardiac autonomic nervous system. However, data artefacts could degrade signal q...
Walking Speed and Uncertainty Estimation Using Mixture Density Networks for Dynamic Ambulatory Environments.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
Walking speed, often considered a representative indicator of activity levels, becomes notably reduced as muscle strength and cardiovascular function decline with aging. Wearable walking rehabilitation devices aim to alleviate the effort during walki...
Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
Deep learning models are being adopted and applied across various critical medical tasks, yet they are primarily trained to provide point predictions without providing degrees of confidence. Medical practitioner's trustworthiness of deep learning mod...
How OpenAI's text-to-video tool Sora could change science - and society.
Nature
Mar 1, 2024
Annotation of Opioid Use Disorder Entity Modifiers in Clinical Text.
Studies in health technology and informatics
Jan 25, 2024
Natural Language Processing can be used to identify opioid use disorder in patients from clinical text1. We annotate a corpus of clinical text for mentions of concepts associated with unhealthy use of opiates including concept modifiers such as negat...
Derivation and Experimental Performance of Standard and Novel Uncertainty Calibration Techniques.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
To aid in the transparency of state-of-the-art machine learning models, there has been considerable research performed in uncertainty quantification (UQ). UQ aims to quantify what a model does not know by measuring variation of the model under stocha...
Clinical AI tools must convey predictive uncertainty for each individual patient.
Nature medicine
Dec 1, 2023
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