AIMC Topic: Decision Making, Computer-Assisted

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Artificial intelligence outperforms experienced nephrologists to assess dry weight in pediatric patients on chronic hemodialysis.

Pediatric nephrology (Berlin, Germany) Jul 9, 2018
BACKGROUND: Dry weight is the lowest weight patients on hemodialysis can tolerate; correct dry weight estimation is necessary to minimize morbi-mortality, but is difficult to achieve. Here, we used artificial intelligence to improve the accuracy of d...
Blood Pressure Determination Body Mass Index Dose-Response Relationship, Drug Blood Pressure Adolescent Child Hypertension Body Fluids Humans Nephrologists Blood Volume Neural Networks, Computer Decision Making, Computer-Assisted Female Male Renal Dialysis Antihypertensive Agents Kidney Failure, Chronic Feasibility Studies Body Weight
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String Grammar Unsupervised Possibilistic Fuzzy C-Medians for Gait Pattern Classification in Patients with Neurodegenerative Diseases.

Computational intelligence and neuroscience Jun 13, 2018
Neurodegenerative diseases that affect serious gait abnormalities include Parkinson's disease (PD), amyotrophic lateral sclerosis (ALS), and Huntington disease (HD). These diseases lead to gait rhythm distortion that can be determined by stride time ...
Fuzzy Logic Lower Extremity Parkinson Disease Unsupervised Machine Learning Humans Biomechanical Phenomena Amyotrophic Lateral Sclerosis Gait Decision Making, Computer-Assisted Huntington Disease
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Predicting post-stroke activities of daily living through a machine learning-based approach on initiating rehabilitation.

International journal of medical informatics Jan 4, 2018
OBJECTIVES: Prediction of activities of daily living (ADL) is crucial for optimized care of post-stroke patients. However, no suitably-validated and practical models are currently available in clinical practice.
Humans Machine Learning Algorithms Retrospective Studies Activities of Daily Living Middle Aged Female Stroke Rehabilitation Taiwan Aged Patient Discharge Decision Making, Computer-Assisted Male Stroke
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DNA Implementation of Fuzzy Inference Engine: Towards DNA Decision-Making Systems.

IEEE transactions on nanobioscience Oct 9, 2017
Decision-making systems are an integral part of any autonomous device. With the recent developments in bio-nanorobots, smart drugs, and engineered viruses, there is an immediate need of decision-making systems which are bio-compatible in nature. DNA ...
Computers, Molecular Computer Simulation Fuzzy Logic Robotics DNA Nanotechnology Decision Making, Computer-Assisted
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Rapid and accurate intraoperative pathological diagnosis by artificial intelligence with deep learning technology.

Medical hypotheses Sep 1, 2017
Frozen section is widely used for intraoperative pathological diagnosis (IOPD), which is essential for intraoperative decision making. However, frozen section suffers from some drawbacks, such as time consuming and high misdiagnosis rate. Recently, a...
Frozen Sections Diagnosis, Computer-Assisted Models, Theoretical Intraoperative Period Decision Making, Computer-Assisted Machine Learning Skin Neoplasms Diagnostic Errors Humans Artificial Intelligence
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Artificial intelligence in medicine.

Metabolism: clinical and experimental Jan 11, 2017
Artificial Intelligence (AI) is a general term that implies the use of a computer to model intelligent behavior with minimal human intervention. AI is generally accepted as having started with the invention of robots. The term derives from the Czech ...
Robotics History, 21st Century Terminology as Topic Artificial Intelligence Interdisciplinary Communication History, 20th Century Precision Medicine Decision Making, Computer-Assisted Electronic Health Records Humans Drug Delivery Systems
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Using Self-Reliance Factors to Decide How to Share Control Between Human Powered Wheelchair Drivers and Ultrasonic Sensors.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 25, 2016
A shared-control scheme for a powered wheelchair is presented. The wheelchair can be operated by a wheelchair driver using a joystick, or directed by a sensor system, or control can be combined between them. The wheelchair system can modify direction...
Decision Making, Computer-Assisted Feedback Computer-Aided Design Ultrasonography Persons with Disabilities Robotics Equipment Failure Analysis Humans Personal Autonomy Man-Machine Systems Equipment Design Reproducibility of Results Wheelchairs Motor Skills Sensitivity and Specificity Transducers
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Introducing the Big Knowledge to Use (BK2U) challenge.

Annals of the New York Academy of Sciences Oct 17, 2016
The purpose of the Big Data to Knowledge initiative is to develop methods for discovering new knowledge from large amounts of data. However, if the resulting knowledge is so large that it resists comprehension, referred to here as Big Knowledge (BK),...
Drug Interactions Translational Research, Biomedical Knowledge Bases Data Mining Image Interpretation, Computer-Assisted Systematized Nomenclature of Medicine Terminology as Topic Image Processing, Computer-Assisted Computational Biology Models, Neurological Pharmaceutical Preparations Humans Intracranial Hemorrhages Animals Decision Making, Computer-Assisted
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META-GLARE: A meta-system for defining your own computer interpretable guideline system-Architecture and acquisition.

Artificial intelligence in medicine Jul 28, 2016
CONTEXT: Several different computer-assisted management systems of computer interpretable guidelines (CIGs) have been developed by the Artificial Intelligence in Medicine community. Each CIG system is characterized by a specific formalism to represen...
Humans Artificial Intelligence Computer Systems Practice Guidelines as Topic Decision Making, Computer-Assisted
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Electronic medical record phenotyping using the anchor and learn framework.

Journal of the American Medical Informatics Association : JAMIA Apr 23, 2016
BACKGROUND: Electronic medical records (EMRs) hold a tremendous amount of information about patients that is relevant to determining the optimal approach to patient care. As medicine becomes increasingly precise, a patient's electronic medical record...
Databases as Topic Decision Making, Computer-Assisted Electronic Health Records Humans Natural Language Processing Machine Learning Area Under Curve Phenotype Emergency Service, Hospital
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