AIMC Topic: Uncertainty

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A Belief Degree-Associated Fuzzy Multifactor Dimensionality Reduction Framework for Epistasis Detection.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2021
Epistasis is a challenge in prediction, classification, and suspicion of human genetic diseases. Many technologies, methods, and tools have been developed for epistasis detection. Multifactor dimensionality reduction (MDR) is the method commonly used...
Multifactor Dimensionality Reduction Multifactorial Inheritance Polymorphism, Single Nucleotide Models, Genetic Databases, Genetic Fuzzy Logic Coronary Artery Disease Datasets as Topic Epistasis, Genetic Uncertainty Humans Software Algorithms
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Artificial Intelligence and Clinical Decision Making: The New Nature of Medical Uncertainty.

Academic medicine : journal of the Association of American Medical Colleges Jan 1, 2021
Estimates in a 1989 study indicated that physicians in the United States were unable to reach a diagnosis that accounted for their patient's symptoms in up to 90% of outpatient patient encounters. Many proponents of artificial intelligence (AI) see t...
Artificial Intelligence Physicians Clinical Decision-Making Female United States Humans Uncertainty Decision Making, Computer-Assisted Adult Attitude to Computers Male Middle Aged Diagnosis, Computer-Assisted
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Adaptive back-stepping cancer control using Legendre polynomials.

IET systems biology Feb 1, 2020
Here, a model-free controller for cancer treatment is presented. The treatment objective is to find a proper drug dosage that can reduce the population of tumour cells. Recently, some solutions have been proposed according to the control theory. In t...
Humans Neural Networks, Computer Algorithms Neoplasms Antineoplastic Agents Uncertainty Computational Biology Models, Biological
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Artificial Intelligence and Surgical Decision-making.

JAMA surgery Feb 1, 2020
IMPORTANCE: Surgeons make complex, high-stakes decisions under time constraints and uncertainty, with significant effect on patient outcomes. This review describes the weaknesses of traditional clinical decision-support systems and proposes that arti...
Electronic Health Records Clinical Decision-Making Time Factors Decision Support Systems, Clinical Humans Artificial Intelligence Emotions Surgical Procedures, Operative Uncertainty Intuition
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[Robots for care. The ethics of measured action in the face of uncertainty].

Cuadernos de bioetica : revista oficial de la Asociacion Espanola de Bioetica y Etica Medica Jan 1, 2020
Beyond the utopian or dystopian scenarios that accompany the progressive introduction of robots for care in daily environments, their use in the medical field entails controversies that require alternative forms of ethical responsibility. From this g...
Bioethical Issues Humans Delivery of Health Care Robotics Morals Uncertainty
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Rise of Robot Radiologists.

Nature Dec 1, 2019
Confounding Factors, Epidemiologic Cell Phone United States Food and Drug Administration Datasets as Topic Practice Guidelines as Topic Humans Healthcare Disparities Uncertainty Deep Learning Diabetic Retinopathy Retina United States Tomography, X-Ray Computed Tuberculosis Mammography Triage Clinical Decision-Making Robotics Diagnostic Errors Female Radiology Breast Neoplasms Sensitivity and Specificity Bias Cardiovascular Diseases Radiologists Diagnosis, Computer-Assisted
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Robust Optimal Design of Energy Efficient Series Elastic Actuators: Application to a Powered Prosthetic Ankle.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jun 1, 2019
Design of rehabilitation and physical assistance robots that work safely and efficiently despite uncertain operational conditions remains an important challenge. Current methods for the design of energy efficient series elastic actuators use an optim...
Elasticity Ankle Joint Motor Activity Uncertainty Joint Prosthesis Robotics Equipment Design Walking Torque Humans Computer Simulation
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Artificial Intelligence and Black-Box Medical Decisions: Accuracy versus Explainability.

The Hastings Center report Jan 1, 2019
Although decision-making algorithms are not new to medicine, the availability of vast stores of medical data, gains in computing power, and breakthroughs in machine learning are accelerating the pace of their development, expanding the range of quest...
Uncertainty Reproducibility of Results Humans Deep Learning Artificial Intelligence Social Responsibility Algorithms Knowledge Clinical Decision-Making
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How automation is changing work.

Nature Nov 1, 2018
Humans Employment Time Factors Artificial Intelligence Uncertainty Economics Automobile Driving Education Diffusion of Innovation Robotics Capitalism Automation Workforce
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Quantitative Analysis of Uncertainty in Medical Reporting: Creating a Standardized and Objective Methodology.

Journal of digital imaging Apr 1, 2018
Uncertainty in text-based medical reports has long been recognized as problematic, frequently resulting in misunderstanding and miscommunication. One strategy for addressing the negative clinical ramifications of report uncertainty would be the creat...
Uncertainty Natural Language Processing Evaluation Studies as Topic Humans Radiology Information Systems Artificial Intelligence Medical Records Machine Learning
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